AISTATS 2024 Accepted Papers

The full list of 547 papers accepted at AISTATS 2024 (International Conference on Artificial Intelligence and Statistics). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

1. A General Theoretical Paradigm to Understand Learning from Human PreferencesPoster548 citations
2. Simulation-Free Schrödinger Bridges via Score and Flow MatchingPoster65 citations
3. Multi-resolution Time-Series Transformer for Long-term ForecastingPoster49 citations
4. Quantifying Uncertainty in Natural Language Explanations of Large Language ModelsPoster42 citations
5. Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted TreesPoster36 citations
6. Mechanics of Next Token Prediction with Self-AttentionPoster34 citations
7. Adaptivity of Diffusion Models to Manifold StructuresPoster30 citations
8. Generative Flow Networks as Entropy-Regularized RLPoster30 citations
9. Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class AbstentionPoster30 citations
10. Identifying Spurious Biases Early in Training through the Lens of Simplicity BiasPoster29 citations
11. Understanding Generalization of Federated Learning via Stability: Heterogeneity MattersPoster28 citations
12. Mixture-of-Linear-Experts for Long-term Time Series ForecastingPoster26 citations
13. Learning Safety Constraints from Demonstrations with Unknown RewardsPoster24 citations
14. Conformal Contextual Robust OptimizationPoster22 citations
15. General Identifiability and Achievability for Causal Representation LearningPoster22 citations
16. Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization ProblemsPoster21 citations
17. Solving Attention Kernel Regression Problem via Pre-conditionerPoster21 citations
18. Fair Machine Unlearning: Data Removal while Mitigating DisparitiesPoster20 citations
19. Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed ResponsesPoster20 citations
20. Parameter-Agnostic Optimization under Relaxed SmoothnessPoster20 citations
21. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated OptimizationPoster20 citations
22. Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningPoster19 citations
23. Exploring the Power of Graph Neural Networks in Solving Linear Optimization ProblemsPoster19 citations
24. Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision ProcessesPoster19 citations
25. Looping in the Human: Collaborative and Explainable Bayesian OptimizationPoster19 citations
26. Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the MeanPoster19 citations
27. Proving Linear Mode Connectivity of Neural Networks via Optimal TransportPoster19 citations
28. Tensor-view Topological Graph Neural NetworkPoster19 citations
29. TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional RegressionPoster19 citations
30. AsGrad: A Sharp Unified Analysis of Asynchronous-SGD AlgorithmsPoster18 citations
31. Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated OptimizationPoster17 citations
32. Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function ApproximationPoster17 citations
33. A General Algorithm for Solving Rank-one Matrix SensingPoster16 citations
34. Enhancing In-context Learning via Linear Probe CalibrationPoster16 citations
35. FedFisher: Leveraging Fisher Information for One-Shot Federated LearningPoster16 citations
36. NoisyMix: Boosting Model Robustness to Common CorruptionsPoster16 citations
37. On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function ApproximationPoster16 citations
38. Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of ExpertsPoster16 citations
39. A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification ModelsPoster15 citations
40. Compression with Exact Error Distribution for Federated LearningPoster15 citations
41. Integrating Uncertainty Awareness into Conformalized Quantile RegressionPoster15 citations
42. Maximum entropy GFlowNets with soft Q-learningPoster15 citations
43. Multi-Domain Causal Representation Learning via Weak Distributional InvariancesPoster15 citations
44. Sequence Length Independent Norm-Based Generalization Bounds for TransformersPoster15 citations
45. Distributionally Robust Model-based Reinforcement Learning with Large State SpacesPoster14 citations
46. Functional Flow MatchingPoster14 citations
47. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set ConversionPoster14 citations
48. Pure Exploration in Bandits with Linear ConstraintsPoster14 citations
49. Self-Compatibility: Evaluating Causal Discovery without Ground TruthPoster14 citations
50. Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian SamplingPoster14 citations
51. Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and ConstraintsPoster13 citations
52. Free-form Flows: Make Any Architecture a Normalizing FlowPoster13 citations
53. Hidden yet quantifiable: A lower bound for confounding strength using randomized trialsPoster13 citations
54. Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsPoster13 citations
55. Posterior Uncertainty Quantification in Neural Networks using Data AugmentationPoster13 citations
56. TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular GenerationPoster13 citations
57. User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal RatesPoster13 citations
58. A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement LearningPoster12 citations
59. Any-dimensional equivariant neural networksPoster12 citations
60. CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical InferencePoster12 citations
61. Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant TransformersPoster12 citations
62. Offline Policy Evaluation and Optimization Under ConfoundingPoster12 citations
63. Revisiting the Noise Model of Stochastic Gradient DescentPoster12 citations
64. Tackling the XAI Disagreement Problem with Regional ExplanationsPoster12 citations
65. A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk MinimizationPoster11 citations
66. Adaptive Compression in Federated Learning via Side InformationPoster11 citations
67. Causal Modeling with Stationary DiffusionsPoster11 citations
68. Delegating Data Collection in Decentralized Machine LearningPoster11 citations
69. Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects EstimationPoster11 citations
70. Hodge-Compositional Edge Gaussian ProcessesPoster11 citations
71. Learning to Defer to a Population: A Meta-Learning ApproachPoster11 citations
72. Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?Poster11 citations
73. Offline Primal-Dual Reinforcement Learning for Linear MDPsPoster11 citations
74. On the Expected Size of Conformal Prediction SetsPoster11 citations
75. On the Impact of Overparameterization on the Training of a Shallow Neural Network in High DimensionsPoster11 citations
76. Online multiple testing with e-valuesPoster11 citations
77. Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual BanditsPoster11 citations
78. Quantifying intrinsic causal contributions via structure preserving interventionsPoster11 citations
79. Analysis of Privacy Leakage in Federated Large Language ModelsPoster10 citations
80. Equivariant bootstrapping for uncertainty quantification in imaging inverse problemsPoster10 citations
81. How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic InterpretabilityPoster10 citations
82. Independent Learning in Constrained Markov Potential GamesPoster10 citations
83. Optimal Sparse Survival TreesPoster10 citations
84. Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn AlgorithmPoster10 citations
85. Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with KernelsPoster10 citations
86. Transductive conformal inference with adaptive scoresPoster10 citations
87. BOBA: Byzantine-Robust Federated Learning with Label SkewnessPoster9 citations
88. Bandit Pareto Set Identification: the Fixed Budget SettingPoster9 citations
89. Classifier Calibration with ROC-Regularized Isotonic RegressionPoster9 citations
90. DE-HNN: An effective neural model for Circuit Netlist representationPoster9 citations
91. Exploration via linearly perturbed loss minimisationPoster9 citations
92. Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention NetworksPoster9 citations
93. Learning a Fourier Transform for Linear Relative Positional Encodings in TransformersPoster9 citations
94. Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear NetworksPoster9 citations
95. Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasPoster9 citations
96. On The Temporal Domain of Differential Equation Inspired Graph Neural NetworksPoster9 citations
97. Provable Policy Gradient Methods for Average-Reward Markov Potential GamesPoster9 citations
98. Queuing dynamics of asynchronous Federated LearningPoster9 citations
99. SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through StratificationPoster9 citations
100. Stochastic Approximation with Biased MCMC for Expectation MaximizationPoster9 citations
101. autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithmPoster9 citations
102. A 4-Approximation Algorithm for Min Max Correlation ClusteringPoster8 citations
103. An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax OptimizationPoster8 citations
104. Auditing Fairness under Unobserved ConfoundingPoster8 citations
105. Can Probabilistic Feedback Drive User Impacts in Online Platforms?Poster8 citations
106. Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over QuantityPoster8 citations
107. Large-Scale Gaussian Processes via Alternating ProjectionPoster8 citations
108. Manifold-Aligned Counterfactual Explanations for Neural NetworksPoster8 citations
109. Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware PriorsPoster8 citations
110. Mitigating Underfitting in Learning to Defer with Consistent LossesPoster8 citations
111. Multi-Resolution Active Learning of Fourier Neural OperatorsPoster8 citations
112. Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and GeneralizationPoster8 citations
113. Online Calibrated and Conformal Prediction Improves Bayesian OptimizationPoster8 citations
114. Positivity-free Policy Learning with Observational DataPoster8 citations
115. Probabilistic Integral CircuitsPoster8 citations
116. Testing exchangeability by pairwise bettingPoster8 citations
117. Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence RatesPoster7 citations
118. Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ RegularizersPoster7 citations
119. Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and ApplicationsPoster7 citations
120. Communication-Efficient Federated Learning With Data and Client HeterogeneityPoster7 citations
121. Cylindrical Thompson Sampling for High-Dimensional Bayesian OptimizationPoster7 citations
122. Directional Optimism for Safe Linear BanditsPoster7 citations
123. Efficient Low-Dimensional Compression of Overparameterized ModelsPoster7 citations
124. Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural NetworksPoster7 citations
125. Extragradient Type Methods for Riemannian Variational Inequality ProblemsPoster7 citations
126. Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient DescentPoster7 citations
127. Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernelsPoster7 citations
128. Identifying Confounding from Causal Mechanism ShiftsPoster7 citations
129. Importance Matching Lemma for Lossy Compression with Side InformationPoster7 citations
130. Learning Fair Division from Bandit FeedbackPoster7 citations
131. Learning Under Random Distributional ShiftsPoster7 citations
132. Mixed Models with Multiple Instance LearningPoster7 citations
133. Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion ProcessesPoster7 citations
134. Optimal Exploration is no harder than Thompson SamplingPoster7 citations
135. Private Learning with Public FeaturesPoster7 citations
136. SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic BanditsPoster7 citations
137. Scalable Learning of Item Response Theory ModelsPoster7 citations
138. Stochastic Multi-Armed Bandits with Strongly Reward-Dependent DelaysPoster7 citations
139. The effect of Leaky ReLUs on the training and generalization of overparameterized networksPoster7 citations
140. Understanding the Generalization Benefits of Late Learning Rate DecayPoster7 citations
141. A Scalable Algorithm for Individually Fair k-Means ClusteringPoster6 citations
142. Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte CarloPoster6 citations
143. Benchmarking Observational Studies with Experimental Data under Right-CensoringPoster6 citations
144. Best-of-Both-Worlds Algorithms for Linear Contextual BanditsPoster6 citations
145. Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved RatesPoster6 citations
146. Comparing Comparators in Generalization BoundsPoster6 citations
147. Consistent and Asymptotically Unbiased Estimation of Proper Calibration ErrorsPoster6 citations
148. Coreset Markov chain Monte CarloPoster6 citations
149. Differentially Private Reward Estimation with Preference FeedbackPoster6 citations
150. Double InfoGAN for Contrastive AnalysisPoster6 citations
151. Efficient Data Shapley for Weighted Nearest Neighbor AlgorithmsPoster6 citations
152. Fairness in Submodular Maximization over a Matroid ConstraintPoster6 citations
153. Faster Recalibration of an Online Predictor via ApproachabilityPoster6 citations
154. Feasible $Q$-Learning for Average Reward Reinforcement LearningPoster6 citations
155. Federated Linear Contextual Bandits with Heterogeneous ClientsPoster6 citations
156. Fitting ARMA Time Series Models without Identification: A Proximal ApproachPoster6 citations
157. Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexityPoster6 citations
158. General Tail Bounds for Non-Smooth Stochastic Mirror DescentPoster6 citations
159. Imposing Fairness Constraints in Synthetic Data GenerationPoster6 citations
160. Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown TransitionPoster6 citations
161. Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL AnnealingPoster6 citations
162. Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov GamesPoster6 citations
163. On learning history-based policies for controlling Markov decision processesPoster6 citations
164. On the Generalization Ability of Unsupervised PretrainingPoster6 citations
165. On the Theoretical Expressive Power and the Design Space of Higher-Order Graph TransformersPoster6 citations
166. Privacy-Constrained Policies via Mutual Information Regularized Policy GradientsPoster6 citations
167. SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR DataPoster6 citations
168. Taming False Positives in Out-of-Distribution Detection with Human FeedbackPoster6 citations
169. The sample complexity of ERMs in stochastic convex optimizationPoster6 citations
170. Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RLPoster6 citations
171. Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin BettingPoster6 citations
172. A Unifying Variational Framework for Gaussian Process Motion PlanningPoster5 citations
173. An Analytic Solution to Covariance Propagation in Neural NetworksPoster5 citations
174. Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of OutliersPoster5 citations
175. Bayesian Semi-structured Subspace InferencePoster5 citations
176. Bures-Wasserstein Means of GraphsPoster5 citations
177. Conformalized Deep Splines for Optimal and Efficient Prediction SetsPoster5 citations
178. Contextual Bandits with Budgeted Information RevealPoster5 citations
179. Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential EquationsPoster5 citations
180. Deep Classifier Mimicry without Data AccessPoster5 citations
181. Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsPoster5 citations
182. Directed Hypergraph Representation Learning for Link PredictionPoster5 citations
183. Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror DescentPoster5 citations
184. Efficiently Computable Safety Bounds for Gaussian Processes in Active LearningPoster5 citations
185. Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication CompressionPoster5 citations
186. Estimation of partially known Gaussian graphical models with score-based structural priorsPoster5 citations
187. Failures and Successes of Cross-Validation for Early-Stopped Gradient DescentPoster5 citations
188. From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based ApproachPoster5 citations
189. Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax OptimizationPoster5 citations
190. Graph Machine Learning through the Lens of Bilevel OptimizationPoster5 citations
191. Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware DetectionPoster5 citations
192. Invariant Aggregator for Defending against Federated Backdoor AttacksPoster5 citations
193. Is this model reliable for everyone? Testing for strong calibrationPoster5 citations
194. Joint control variate for faster black-box variational inferencePoster5 citations
195. Learning Populations of Preferences via Pairwise Comparison QueriesPoster5 citations
196. Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous DataPoster5 citations
197. Learning-Based Algorithms for Graph Searching ProblemsPoster5 citations
198. Making Better Use of Unlabelled Data in Bayesian Active LearningPoster5 citations
199. Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variablePoster5 citations
200. Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient FlowPoster5 citations
201. Near-Optimal Convex Simple Bilevel Optimization with a Bisection MethodPoster5 citations
202. Non-Convex Joint Community Detection and Group Synchronization via Generalized Power MethodPoster5 citations
203. Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical LearningPoster5 citations
204. Online Learning in Contextual Second-Price Pay-Per-Click AuctionsPoster5 citations
205. Online Learning of Decision Trees with Thompson SamplingPoster5 citations
206. Online learning in bandits with predicted contextPoster5 citations
207. Optimal Budgeted Rejection Sampling for Generative ModelsPoster5 citations
208. Probabilistic Calibration by Design for Neural Network RegressionPoster5 citations
209. Proxy Methods for Domain AdaptationPoster5 citations
210. Riemannian Laplace Approximation with the Fisher MetricPoster5 citations
211. Robust Offline Reinforcement Learning with Heavy-Tailed RewardsPoster5 citations
212. Robust Sparse VotingPoster5 citations
213. Scalable Meta-Learning with Gaussian ProcessesPoster5 citations
214. Spectrum Extraction and Clipping for Implicitly Linear LayersPoster5 citations
215. Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational InequalitiesPoster5 citations
216. Stochastic Methods in Variational Inequalities: Ergodicity, Bias and RefinementsPoster5 citations
217. Submodular Minimax Optimization: Finding Effective SetsPoster5 citations
218. The AL$\ell_0$CORE Tensor Decomposition for Sparse Count DataPoster5 citations
219. The Risks of Recourse in Binary ClassificationPoster5 citations
220. A Unified Framework for Discovering Discrete SymmetriesPoster4 citations
221. A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarityPoster4 citations
222. Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics ApproachPoster4 citations
223. Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimizationPoster4 citations
224. Analysis of Kernel Mirror Prox for Measure OptimizationPoster4 citations
225. Anytime-Constrained Reinforcement LearningPoster4 citations
226. Approximate Bayesian Class-Conditional Models under Continuous Representation ShiftPoster4 citations
227. Autoregressive BanditsPoster4 citations
228. Causal Bandits with General Causal Models and InterventionsPoster4 citations
229. Causal Q-Aggregation for CATE Model SelectionPoster4 citations
230. Causally Inspired Regularization Enables Domain General RepresentationsPoster4 citations
231. Consistent Optimal Transport with Empirical Conditional MeasuresPoster4 citations
232. Contextual Directed Acyclic GraphsPoster4 citations
233. Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence RatePoster4 citations
234. Differentiable Rendering with Reparameterized Volume SamplingPoster4 citations
235. Differentially Private Conditional Independence TestingPoster4 citations
236. Discriminator Guidance for Autoregressive Diffusion ModelsPoster4 citations
237. Efficient Conformal Prediction under Data HeterogeneityPoster4 citations
238. Efficient Neural Architecture Design via Capturing Architecture-Performance Joint DistributionPoster4 citations
239. Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing SystemsPoster4 citations
240. Emergent specialization from participation dynamics and multi-learner retrainingPoster4 citations
241. Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure GamesPoster4 citations
242. FALCON: FLOP-Aware Combinatorial Optimization for Neural Network PruningPoster4 citations
243. Federated Experiment Design under Distributed Differential PrivacyPoster4 citations
244. Functional Graphical Models: Structure Enables Offline Data-Driven OptimizationPoster4 citations
245. GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning ModelsPoster4 citations
246. Identifiable Feature Learning for Spatial Data with Nonlinear ICAPoster4 citations
247. Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional DataPoster4 citations
248. Intrinsic Gaussian Vector Fields on ManifoldsPoster4 citations
249. Joint Selection: Adaptively Incorporating Public Information for Private Synthetic DataPoster4 citations
250. Learning Adaptive Kernels for Statistical Independence TestsPoster4 citations
251. Length independent PAC-Bayes bounds for Simple RNNsPoster4 citations
252. Lexicographic Optimization: Algorithms and StabilityPoster4 citations
253. Multi-Dimensional Hyena for Spatial Inductive BiasPoster4 citations
254. Multi-armed bandits with guaranteed revenue per armPoster4 citations
255. Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical GuaranteesPoster4 citations
256. Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling BanditsPoster4 citations
257. Near-optimal Per-Action Regret Bounds for Sleeping BanditsPoster4 citations
258. Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural NetworksPoster4 citations
259. On Convergence in Wasserstein Distance and f-divergence Minimization ProblemsPoster4 citations
260. On the Effect of Key Factors in Spurious Correlation: A theoretical PerspectivePoster4 citations
261. On the Nyström Approximation for Preconditioning in Kernel MachinesPoster4 citations
262. Quantized Fourier and Polynomial Features for more Expressive Tensor Network ModelsPoster4 citations
263. Random Oscillators Network for Time Series ProcessingPoster4 citations
264. Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk MeasuresPoster4 citations
265. SDEs for Minimax OptimizationPoster4 citations
266. Self-Supervised Quantization-Aware Knowledge DistillationPoster4 citations
267. Sharp error bounds for imbalanced classification: how many examples in the minority class?Poster4 citations
268. Sharpened Lazy Incremental Quasi-Newton MethodPoster4 citations
269. Simulation-Based StackingPoster4 citations
270. Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special CasesPoster4 citations
271. Tight Verification of Probabilistic Robustness in Bayesian Neural NetworksPoster4 citations
272. Trigonometric Quadrature Fourier Features for Scalable Gaussian Process RegressionPoster4 citations
273. Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness ResultsPoster4 citations
274. Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood RatioPoster4 citations
275. Variational Gaussian Process Diffusion ProcessesPoster4 citations
276. Weight-Sharing RegularizationPoster4 citations
277. A Cubic-regularized Policy Newton Algorithm for Reinforcement LearningPoster3 citations
278. A Doubly Robust Approach to Sparse Reinforcement LearningPoster3 citations
279. Absence of spurious solutions far from ground truth: A low-rank analysis with high-order lossesPoster3 citations
280. Achieving Fairness through Separability: A Unified Framework for Fair Representation LearningPoster3 citations
281. Adaptive Experiment Design with Synthetic ControlsPoster3 citations
282. Adaptive Federated Minimax Optimization with Lower ComplexitiesPoster3 citations
283. Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction FunctionsPoster3 citations
284. Asynchronous Randomized Trace EstimationPoster3 citations
285. Bayesian Online Learning for Consensus PredictionPoster3 citations
286. Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance BoundsPoster3 citations
287. Better Batch for Deep Probabilistic Time Series ForecastingPoster3 citations
288. Certified private data release for sparse Lipschitz functionsPoster3 citations
289. Conditions on Preference Relations that Guarantee the Existence of Optimal PoliciesPoster3 citations
290. Conformalized Semi-supervised Random Forest for Classification and Abnormality DetectionPoster3 citations
291. Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited CommunicationPoster3 citations
292. Corruption-Robust Offline Two-Player Zero-Sum Markov GamesPoster3 citations
293. DAGnosis: Localized Identification of Data Inconsistencies using StructuresPoster3 citations
294. Data-Driven Online Model Selection With Regret GuaranteesPoster3 citations
295. Deep anytime-valid hypothesis testingPoster3 citations
296. Density Uncertainty Layers for Reliable Uncertainty EstimationPoster3 citations
297. Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and SmoothingPoster3 citations
298. Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty SetsPoster3 citations
299. Effect of Ambient-Intrinsic Dimension Gap on Adversarial VulnerabilityPoster3 citations
300. Efficient Graph Laplacian Estimation by Proximal NewtonPoster3 citations
301. Estimating treatment effects from single-arm trials via latent-variable modelingPoster3 citations
302. Fair Supervised Learning with A Simple Random Sampler of Sensitive AttributesPoster3 citations
303. Fair k-center Clustering with OutliersPoster3 citations
304. Fast 1-Wasserstein distance approximations using greedy strategiesPoster3 citations
305. Fast Minimization of Expected Logarithmic Loss via Stochastic Dual AveragingPoster3 citations
306. Formal Verification of Unknown Stochastic Systems via Non-parametric EstimationPoster3 citations
307. From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive PerformancePoster3 citations
308. Fusing Individualized Treatment Rules Using Secondary OutcomesPoster3 citations
309. Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function ApproximationPoster3 citations
310. Identifiability of Product of Experts ModelsPoster3 citations
311. Interpretability Guarantees with Merlin-Arthur ClassifiersPoster3 citations
312. Learning Sparse Codes with Entropy-Based ELBOsPoster3 citations
313. Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresPoster3 citations
314. Local Causal Discovery with Linear non-Gaussian Cyclic ModelsPoster3 citations
315. MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence MaximizationPoster3 citations
316. Membership Testing in Markov Equivalence Classes via Independence QueriesPoster3 citations
317. Monitoring machine learning-based risk prediction algorithms in the presence of performativityPoster3 citations
318. Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on GraphsPoster3 citations
319. Multi-Agent Bandit Learning through Heterogeneous Action Erasure ChannelsPoster3 citations
320. Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level DataPoster3 citations
321. On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information AsymmetryPoster3 citations
322. On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing ProblemPoster3 citations
323. On the Vulnerability of Fairness Constrained Learning to Malicious NoisePoster3 citations
324. Optimal Transport for Measures with Noisy Tree MetricPoster3 citations
325. Ordinal Potential-based Player RatingPoster3 citations
326. Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity AnalysisPoster3 citations
327. Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational InferencePoster3 citations
328. Sparse and Faithful Explanations Without Sparse ModelsPoster3 citations
329. Strategic Usage in a Multi-Learner SettingPoster3 citations
330. Structured Transforms Across Spaces with Cost-Regularized Optimal TransportPoster3 citations
331. Sum-max Submodular BanditsPoster3 citations
332. Taming Nonconvex Stochastic Mirror Descent with General Bregman DivergencePoster3 citations
333. The Galerkin method beats Graph-Based Approaches for Spectral AlgorithmsPoster3 citations
334. The Solution Path of SLOPEPoster3 citations
335. Think Before You Duel: Understanding Complexities of Preference Learning under Constrained ResourcesPoster3 citations
336. Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density EstimatorsPoster3 citations
337. Timing as an Action: Learning When to Observe and ActPoster3 citations
338. Towards Costless Model Selection in Contextual Bandits: A Bias-Variance PerspectivePoster3 citations
339. Training a Tucker Model With Shared Factors: a Riemannian Optimization ApproachPoster3 citations
340. Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event ExplanationPoster3 citations
341. Variational ResamplingPoster3 citations
342. A Specialized Semismooth Newton Method for Kernel-Based Optimal TransportPoster2 citations
343. A/B testing under Interference with Partial Network InformationPoster2 citations
344. Accuracy-Preserving Calibration via Statistical Modeling on Probability SimplexPoster2 citations
345. Analysis of Using Sigmoid Loss for Contrastive LearningPoster2 citations
346. Approximate Control for Continuous-Time POMDPsPoster2 citations
347. BLIS-Net: Classifying and Analyzing Signals on GraphsPoster2 citations
348. Boundary-Aware Uncertainty for Feature Attribution ExplainersPoster2 citations
349. Causal Discovery under Off-Target InterventionsPoster2 citations
350. Clustering Items From Adaptively Collected Inconsistent FeedbackPoster2 citations
351. Confident Feature RankingPoster2 citations
352. Consistency of Dictionary-Based Manifold LearningPoster2 citations
353. Consistent Hierarchical Classification with A Generalized MetricPoster2 citations
354. DHMConv: Directed Hypergraph Momentum Convolution FrameworkPoster2 citations
355. Data Driven Threshold and Potential Initialization for Spiking Neural NetworksPoster2 citations
356. Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed DistributionsPoster2 citations
357. Deep Dependency Networks and Advanced Inference Schemes for Multi-Label ClassificationPoster2 citations
358. DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataPoster2 citations
359. Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationPoster2 citations
360. Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsPoster2 citations
361. Error bounds for any regression model using Gaussian processes with gradient informationPoster2 citations
362. Fair Soft ClusteringPoster2 citations
363. FairRR: Pre-Processing for Group Fairness through Randomized ResponsePoster2 citations
364. Faster Convergence with MultiWay PreferencesPoster2 citations
365. First Passage Percolation with Queried HintsPoster2 citations
366. Identification and Estimation of “Causes of Effects” using Covariate-Mediator InformationPoster2 citations
367. Identifying Copeland Winners in Dueling Bandits with IndifferencesPoster2 citations
368. Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic GraphsPoster2 citations
369. LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object DetectionPoster2 citations
370. Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential GamesPoster2 citations
371. Learning Granger Causality from Instance-wise Self-attentive Hawkes ProcessesPoster2 citations
372. Learning multivariate temporal point processes via the time-change theoremPoster2 citations
373. Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector BanditsPoster2 citations
374. Learning to Rank for Optimal Treatment Allocation Under Resource ConstraintsPoster2 citations
375. Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical ModelsPoster2 citations
376. Low-rank MDPs with Continuous Action SpacesPoster2 citations
377. Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter OptimizationPoster2 citations
378. MMD-based Variable Importance for Distributional Random ForestPoster2 citations
379. Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent OraclesPoster2 citations
380. Model-Based Best Arm Identification for Decreasing BanditsPoster2 citations
381. Multi-Agent Learning in Contextual Games under Unknown ConstraintsPoster2 citations
382. Multiclass Learning from Noisy Labels for Non-decomposable Performance MeasuresPoster2 citations
383. No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity ConstraintsPoster2 citations
384. On Parameter Estimation in Deviated Gaussian Mixture of ExpertsPoster2 citations
385. On the Misspecification of Linear Assumptions in Synthetic ControlsPoster2 citations
386. On the Model-Misspecification in Reinforcement LearningPoster2 citations
387. On the Privacy of Selection Mechanisms with Gaussian NoisePoster2 citations
388. On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UXPoster2 citations
389. Personalized Federated X-armed BanditPoster2 citations
390. Policy Learning for Localized Interventions from Observational DataPoster2 citations
391. Provable Mutual Benefits from Federated Learning in Privacy-Sensitive DomainsPoster2 citations
392. Proximal Causal Inference for Synthetic Control with SurrogatesPoster2 citations
393. RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access ModelPoster2 citations
394. Resilient Constrained Reinforcement LearningPoster2 citations
395. Reward-Relevance-Filtered Linear Offline Reinforcement LearningPoster2 citations
396. Robust Approximate Sampling via Stochastic Gradient Barker DynamicsPoster2 citations
397. Robust Data Clustering with Outliers via Transformed Tensor Low-Rank RepresentationPoster2 citations
398. Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysisPoster2 citations
399. Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical SystemsPoster2 citations
400. Sequential learning of the Pareto front for multi-objective banditsPoster2 citations
401. Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form EquationsPoster2 citations
402. Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand LearningPoster2 citations
403. Stochastic Smoothed Gradient Descent Ascent for Federated Minimax OptimizationPoster2 citations
404. Structural perspective on constraint-based learning of Markov networksPoster2 citations
405. The Relative Gaussian Mechanism and its Application to Private Gradient DescentPoster2 citations
406. Thompson Sampling Itself is Differentially PrivatePoster2 citations
407. To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared ModelsPoster2 citations
408. Unified Transfer Learning in High-Dimensional Linear RegressionPoster2 citations
409. Vector Quantile Regression on ManifoldsPoster2 citations
410. A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary OpponentPoster1 citations
411. A Greedy Approximation for k-Determinantal Point ProcessesPoster1 citations
412. An Improved Algorithm for Learning Drifting Discrete DistributionsPoster1 citations
413. Backward Filtering Forward Deciding in Linear Non-Gaussian State Space ModelsPoster1 citations
414. Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic SupportPoster1 citations
415. Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input UncertaintyPoster1 citations
416. Breaking isometric ties and introducing priors in Gromov-Wasserstein distancesPoster1 citations
417. Computing epidemic metrics with edge differential privacyPoster1 citations
418. Conditional Adjustment in a Markov Equivalence ClassPoster1 citations
419. Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsPoster1 citations
420. DiffRed: Dimensionality reduction guided by stable rankPoster1 citations
421. E(3)-Equivariant Mesh Neural NetworksPoster1 citations
422. EM for Mixture of Linear Regression with Clustered DataPoster1 citations
423. Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization ApproachPoster1 citations
424. Efficient Quantum Agnostic Improper Learning of Decision TreesPoster1 citations
425. Electronic Medical Records Assisted Digital Clinical Trial DesignPoster1 citations
426. End-to-end Feature Selection Approach for Learning Skinny TreesPoster1 citations
427. Enhancing Distributional Stability among Sub-populationsPoster1 citations
428. Equivalence Testing: The Power of Bounded AdaptivityPoster1 citations
429. Explanation-based Training with Differentiable Insertion/Deletion Metric-aware RegularizersPoster1 citations
430. Faithful graphical representations of local independencePoster1 citations
431. Fast Dynamic Sampling for Determinantal Point ProcessesPoster1 citations
432. Fast Fourier Bayesian QuadraturePoster1 citations
433. Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed BanditPoster1 citations
434. Generalization Bounds for Label Noise Stochastic Gradient DescentPoster1 citations
435. Gibbs-Based Information Criteria and the Over-Parameterized RegimePoster1 citations
436. GmGM: a fast multi-axis Gaussian graphical modelPoster1 citations
437. Graph Partitioning with a Move BudgetPoster1 citations
438. Graph Pruning for Enumeration of Minimal Unsatisfiable SubsetsPoster1 citations
439. HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised LearningPoster1 citations
440. Implicit Bias in Noisy-SGD: With Applications to Differentially Private TrainingPoster1 citations
441. Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured SparsityPoster1 citations
442. Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic PerspectivePoster1 citations
443. Information-theoretic Analysis of Bayesian Test Data SensitivityPoster1 citations
444. Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence RatePoster1 citations
445. Learning Cartesian Product Graphs with Laplacian ConstraintsPoster1 citations
446. Learning Latent Partial Matchings with Gumbel-IPF NetworksPoster1 citations
447. MINTY: Rule-based models that minimize the need for imputing features with missing valuesPoster1 citations
448. Meta Learning in Bandits within shared affine SubspacesPoster1 citations
449. Nonparametric Automatic Differentiation Variational Inference with Spline ApproximationPoster1 citations
450. On Feynman-Kac training of partial Bayesian neural networksPoster1 citations
451. On Ranking-based Tests of IndependencePoster1 citations
452. On cyclical MCMC samplingPoster1 citations
453. On the connection between Noise-Contrastive Estimation and Contrastive DivergencePoster1 citations
454. On the estimation of persistence intensity functions and linear representations of persistence diagramsPoster1 citations
455. Online Distribution Learning with Local Privacy ConstraintsPoster1 citations
456. Optimal Zero-Shot Detector for Multi-Armed AttacksPoster1 citations
457. Optimal estimation of Gaussian (poly)treesPoster1 citations
458. Optimising Distributions with Natural Gradient SurrogatesPoster1 citations
459. Orthogonal Gradient Boosting for Simpler Additive Rule EnsemblesPoster1 citations
460. P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural NetworksPoster1 citations
461. Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural NetworksPoster1 citations
462. Prior-dependent analysis of posterior sampling reinforcement learning with function approximationPoster1 citations
463. Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement LearningPoster1 citations
464. Probabilistic Modeling for Sequences of Sets in Continuous-TimePoster1 citations
465. Provable local learning rule by expert aggregation for a Hawkes networkPoster1 citations
466. Recovery Guarantees for Distributed-OMPPoster1 citations
467. Risk Seeking Bayesian Optimization under Uncertainty for Obtaining ExtremumPoster1 citations
468. Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-EstimatorsPoster1 citations
469. Robust variance-regularized risk minimization with concomitant scalingPoster1 citations
470. Safe and Interpretable Estimation of Optimal Treatment RegimesPoster1 citations
471. Sample Complexity Characterization for Linear Contextual MDPsPoster1 citations
472. Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse ComponentsPoster1 citations
473. Sample-efficient neural likelihood-free Bayesian inference of implicit HMMsPoster1 citations
474. Scalable Algorithms for Individual Preference Stable ClusteringPoster1 citations
475. Scalable Higher-Order Tensor Product Spline ModelsPoster1 citations
476. Score Operator Newton transportPoster1 citations
477. Simple and scalable algorithms for cluster-aware precision medicinePoster1 citations
478. Soft-constrained Schrödinger Bridge: a Stochastic Control ApproachPoster1 citations
479. Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient ViewpointPoster1 citations
480. Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural NetworksPoster1 citations
481. Surrogate Active Subspaces for Jump-Discontinuous FunctionsPoster1 citations
482. Surrogate Bayesian Networks for Approximating Evolutionary GamesPoster1 citations
483. Symmetric Equilibrium Learning of VAEsPoster1 citations
484. The Effective Number of Shared Dimensions Between Paired DatasetsPoster1 citations
485. Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes ApproachPoster1 citations
486. Training Implicit Generative Models via an Invariant Statistical LossPoster1 citations
487. Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural ProcessPoster1 citations
488. Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object CountingPoster1 citations
489. Understanding Inverse Scaling and Emergence in Multitask Representation LearningPoster1 citations
490. Understanding Progressive Training Through the Framework of Randomized Coordinate DescentPoster1 citations
491. VEC-SBM: Optimal Community Detection with Vectorial Edges CovariatesPoster1 citations
492. XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task CoveragePoster1 citations
493. A Neural Architecture Predictor based on GNN-Enhanced TransformerPoster
494. ALAS: Active Learning for Autoconversion Rates Prediction from Satellite DataPoster
495. Acceleration and Implicit Regularization in Gaussian Phase RetrievalPoster
496. Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating ClassifiersPoster
497. Adaptive Discretization for Event PredicTion (ADEPT)Poster
498. Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot ClassificationPoster
499. Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regressionPoster
500. Agnostic Multi-Robust Learning using ERMPoster
501. An Impossibility Theorem for Node EmbeddingPoster
502. An Online Bootstrap for Time SeriesPoster
503. Best Arm Identification with Resource ConstraintsPoster
504. Better Representations via Adversarial Training in Pre-Training: A Theoretical PerspectivePoster
505. BlockBoost: Scalable and Efficient Blocking through BoostingPoster
506. Categorical Generative Model Evaluation via Synthetic Distribution CoarseningPoster
507. Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential GamesPoster
508. Cross-model Mutual Learning for Exemplar-based Medical Image SegmentationPoster
509. DNNLasso: Scalable Graph Learning for Matrix-Variate DataPoster
510. Deep Learning-Based Alternative Route ComputationPoster
511. Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification MethodsPoster
512. Dissimilarity BanditsPoster
513. Don’t Be Pessimistic Too Early: Look K Steps Ahead!Poster
514. Efficient Variational Sequential Information ControlPoster
515. Fast and Adversarial Robust Kernelized SDU LearningPoster
516. Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical ModelsPoster
517. Graph fission and cross-validationPoster
518. How Good is a Single Basin?Poster
519. Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical ModelsPoster
520. Informative Path Planning with Limited AdaptivityPoster
521. LP-based Construction of DC Decompositions for Efficient Inference of Markov Random FieldsPoster
522. Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order OptimizationPoster
523. Mixed variational flows for discrete variablesPoster
524. Model-based Policy Optimization under Approximate Bayesian InferencePoster
525. Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient FlowPoster
526. Multitask Online Learning: Listen to the Neighborhood BuzzPoster
527. On-Demand Federated Learning for Arbitrary Target Class DistributionsPoster
528. Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimizationPoster
529. Pathwise Explanation of ReLU Neural NetworksPoster
530. Pessimistic Off-Policy Multi-Objective OptimizationPoster
531. Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsPoster
532. PrIsing: Privacy-Preserving Peer Effect Estimation via Ising ModelPoster
533. Reparameterized Variational Rejection SamplingPoster
534. Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus VectorsPoster
535. SDMTR: A Brain-inspired Transformer for Relation InferencePoster
536. Sample Efficient Learning of Factored Embeddings of Tensor FieldsPoster
537. Simulating weighted automata over sequences and trees with transformersPoster
538. Subsampling Error in Stochastic Gradient Langevin DiffusionsPoster
539. Testing Generated Distributions in GANs to Penalize Mode CollapsePoster
540. Theory-guided Message Passing Neural Network for Probabilistic InferencePoster
541. Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding ModelPoster
542. Towards Practical Non-Adversarial Distribution MatchingPoster
543. Towards a Complete Benchmark on Video Moment LocalizationPoster
544. Unsupervised Change Point Detection in Multivariate Time SeriesPoster
545. Warped Diffusion for Latent Differentiation InferencePoster
546. When No-Rejection Learning is Consistent for Regression with RejectionPoster
547. Why is parameter averaging beneficial in SGD? An objective smoothing perspectivePoster

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