AISTATS 2023 Accepted Papers

The full list of 496 papers accepted at AISTATS 2023 (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. TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsPoster353 citations
2. Data Banzhaf: A Robust Data Valuation Framework for Machine LearningPoster128 citations
3. Federated Learning under Distributed Concept DriftPoster81 citations
4. Fixing by Mixing: A Recipe for Optimal Byzantine ML under HeterogeneityPoster72 citations
5. Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient MethodsPoster72 citations
6. Do Bayesian Neural Networks Need To Be Fully Stochastic?Poster69 citations
7. Dueling RL: Reinforcement Learning with Trajectory PreferencesPoster67 citations
8. From Shapley Values to Generalized Additive Models and backPoster66 citations
9. Reinforcement Learning for Adaptive Mesh RefinementPoster57 citations
10. Who Should Predict? Exact Algorithms For Learning to Defer to HumansPoster57 citations
11. Membership Inference Attacks against Synthetic Data through Overfitting DetectionPoster56 citations
12. The Schrödinger Bridge between Gaussian Measures has a Closed FormPoster54 citations
13. An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk MinimizationPoster53 citations
14. Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal EnsemblesPoster48 citations
15. Positional Encoder Graph Neural Networks for Geographic DataPoster48 citations
16. Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph DiffusionPoster46 citations
17. Improved Sample Complexity Bounds for Distributionally Robust Reinforcement LearningPoster46 citations
18. Prediction-Oriented Bayesian Active LearningPoster46 citations
19. Select and Optimize: Learning to solve large-scale TSP instancesPoster45 citations
20. NTS-NOTEARS: Learning Nonparametric DBNs With Prior KnowledgePoster44 citations
21. Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive InferencePoster42 citations
22. Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous DataPoster42 citations
23. Understanding Multimodal Contrastive Learning and Incorporating Unpaired DataPoster41 citations
24. Incentive-aware Contextual Pricing with Non-parametric Market NoisePoster38 citations
25. Theoretically Grounded Loss Functions and Algorithms for Adversarial RobustnessPoster37 citations
26. A Finite Sample Complexity Bound for Distributionally Robust Q-learningPoster36 citations
27. Optimal robustness-consistency tradeoffs for learning-augmented metrical task systemsPoster36 citations
28. Regression as Classification: Influence of Task Formulation on Neural Network FeaturesPoster36 citations
29. Vector Quantized Time Series Generation with a Bidirectional Prior ModelPoster36 citations
30. Byzantine-Robust Federated Learning with Optimal Statistical RatesPoster35 citations
31. Private Non-Convex Federated Learning Without a Trusted ServerPoster35 citations
32. A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level ProblemPoster33 citations
33. Bayesian Optimization with Conformal Prediction SetsPoster33 citations
34. Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian OptimisationPoster33 citations
35. On the Privacy Risks of Algorithmic RecoursePoster33 citations
36. Particle algorithms for maximum likelihood training of latent variable modelsPoster33 citations
37. Reconstructing Training Data from Model Gradient, ProvablyPoster33 citations
38. Unifying local and global model explanations by functional decomposition of low dimensional structuresPoster33 citations
39. Active Membership Inference Attack under Local Differential Privacy in Federated LearningPoster32 citations
40. Alternating Projected SGD for Equality-constrained Bilevel OptimizationPoster32 citations
41. Explicit Regularization in Overparametrized Models via Noise InjectionPoster32 citations
42. Loss-Curvature Matching for Dataset Selection and CondensationPoster32 citations
43. Can 5th Generation Local Training Methods Support Client Sampling? Yes!Poster31 citations
44. Diffusion Generative Models in Infinite DimensionsPoster31 citations
45. Efficient and Light-Weight Federated Learning via Asynchronous Distributed DropoutPoster31 citations
46. Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample PathPoster31 citations
47. Adversarial Random Forests for Density Estimation and Generative ModelingPoster30 citations
48. Discrete Langevin Samplers via Wasserstein Gradient FlowPoster30 citations
49. Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsPoster30 citations
50. Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal dataPoster29 citations
51. Probabilistic Conformal Prediction Using Conditional Random SamplesPoster29 citations
52. To Impute or not to Impute? Missing Data in Treatment Effect EstimationPoster29 citations
53. Multi-task Representation Learning with Stochastic Linear BanditsPoster28 citations
54. On the Limitations of the Elo, Real-World Games are Transitive, not AdditivePoster28 citations
55. Discovering Many Diverse Solutions with Bayesian OptimizationPoster27 citations
56. Discrete Distribution Estimation under User-level Local Differential PrivacyPoster27 citations
57. Faithful Heteroscedastic Regression with Neural NetworksPoster27 citations
58. Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature NoisePoster27 citations
59. Indeterminacy in Generative Models: Characterization and Strong IdentifiabilityPoster27 citations
60. Inducing Neural Collapse in Deep Long-tailed LearningPoster27 citations
61. Langevin Diffusion Variational InferencePoster27 citations
62. A Statistical Analysis of Polyak-Ruppert Averaged Q-LearningPoster26 citations
63. BaCaDI: Bayesian Causal Discovery with Unknown InterventionsPoster26 citations
64. Distill n’ Explain: explaining graph neural networks using simple surrogatesPoster26 citations
65. Learning Physics-Informed Neural Networks without Stacked Back-propagationPoster26 citations
66. Learning Sparse Graphon Mean Field GamesPoster26 citations
67. Nonstationary Bandit Learning via Predictive SamplingPoster26 citations
68. Efficiently Forgetting What You Have Learned in Graph Representation Learning via ProjectionPoster25 citations
69. Entropic Risk Optimization in Discounted MDPsPoster25 citations
70. Federated Learning for Data StreamsPoster25 citations
71. Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisationPoster25 citations
72. Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with LoopsPoster25 citations
73. Sample Efficiency of Data Augmentation Consistency RegularizationPoster25 citations
74. Semantic Strengthening of Neuro-Symbolic LearningPoster25 citations
75. Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot ClassificationPoster24 citations
76. Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized RegimePoster24 citations
77. But Are You Sure? An Uncertainty-Aware Perspective on Explainable AIPoster24 citations
78. On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a NetworkPoster24 citations
79. Scalable Spectral Clustering with Group Fairness ConstraintsPoster24 citations
80. Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based EmbeddingsPoster23 citations
81. Byzantine-Robust Online and Offline Distributed Reinforcement LearningPoster23 citations
82. A Blessing of Dimensionality in Membership Inference through RegularizationPoster22 citations
83. AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax OptimizationPoster22 citations
84. Delayed Feedback in Generalised Linear Bandits RevisitedPoster22 citations
85. INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum ConservationPoster22 citations
86. On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced DataPoster22 citations
87. Stochastic Tree Ensembles for Estimating Heterogeneous EffectsPoster22 citations
88. Convergence of Stein Variational Gradient Descent under a Weaker Smoothness ConditionPoster21 citations
89. Fair learning with Wasserstein barycenters for non-decomposable performance measuresPoster21 citations
90. Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum GamesPoster21 citations
91. Provably Efficient Model-Free Algorithms for Non-stationary CMDPsPoster21 citations
92. SMCP3: Sequential Monte Carlo with Probabilistic Program ProposalsPoster21 citations
93. Sampling From a Schrödinger BridgePoster21 citations
94. SurvivalGAN: Generating Time-to-Event Data for Survival AnalysisPoster21 citations
95. qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian OptimizationPoster21 citations
96. Coherent Probabilistic Forecasting of Temporal HierarchiesPoster20 citations
97. Compress Then Test: Powerful Kernel Testing in Near-linear TimePoster20 citations
98. Context-Specific Causal Discovery for Categorical Data Using Staged TreesPoster20 citations
99. Model-Based Uncertainty in Value FunctionsPoster20 citations
100. On the Strategyproofness of the Geometric MedianPoster20 citations
101. A principled framework for the design and analysis of token algorithmsPoster19 citations
102. Active Exploration via Experiment Design in Markov ChainsPoster19 citations
103. Adversarial De-confounding in Individualised Treatment Effects EstimationPoster19 citations
104. Benign overfitting of non-smooth neural networks beyond lazy trainingPoster19 citations
105. Causal Entropy OptimizationPoster19 citations
106. Continuous-Time Decision Transformer for Healthcare ApplicationsPoster19 citations
107. Improving Adaptive Conformal Prediction Using Self-Supervised LearningPoster19 citations
108. Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCBPoster19 citations
109. Model-X Sequential Testing for Conditional Independence via Testing by BettingPoster19 citations
110. Neural Simulated AnnealingPoster19 citations
111. On double-descent in uncertainty quantification in overparametrized modelsPoster19 citations
112. Performative Prediction with Neural NetworksPoster19 citations
113. Temporal Graph Neural Networks for Irregular DataPoster19 citations
114. AUC-based Selective ClassificationPoster18 citations
115. Efficient fair PCA for fair representation learningPoster18 citations
116. Equivariant Representation Learning via Class-Pose DecompositionPoster18 citations
117. NODAGS-Flow: Nonlinear Cyclic Causal Structure LearningPoster18 citations
118. ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D ImagesPoster18 citations
119. Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit FeedbackPoster18 citations
120. Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex SetsPoster18 citations
121. Toward Fairness in Text Generation via Mutual Information Minimization based on Importance SamplingPoster18 citations
122. Computing Abductive Explanations for Boosted TreesPoster17 citations
123. Conformal Off-Policy PredictionPoster17 citations
124. Consistent Complementary-Label Learning via Order-Preserving LossesPoster17 citations
125. Does Label Differential Privacy Prevent Label Inference Attacks?Poster17 citations
126. Federated Asymptotics: a model to compare federated learning algorithmsPoster17 citations
127. Mixed-Effect Thompson SamplingPoster17 citations
128. Towards Scalable and Robust Structured Bandits: A Meta-Learning FrameworkPoster17 citations
129. A stopping criterion for Bayesian optimization by the gap of expected minimum simple regretsPoster16 citations
130. Adapting to Latent Subgroup Shifts via Concepts and ProxiesPoster16 citations
131. Global Convergence of Over-parameterized Deep Equilibrium ModelsPoster16 citations
132. Noise-Aware Statistical Inference with Differentially Private Synthetic DataPoster16 citations
133. Protecting Global Properties of Datasets with Distribution Privacy MechanismsPoster16 citations
134. Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse ProblemsPoster16 citations
135. Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural NetworksPoster16 citations
136. Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluationPoster15 citations
137. EGG-GAE: scalable graph neural networks for tabular data imputationPoster15 citations
138. FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific DiscoveryPoster15 citations
139. Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect OraclesPoster15 citations
140. Gaussian Processes on Distributions based on Regularized Optimal TransportPoster15 citations
141. Global-Local Regularization Via Distributional RobustnessPoster15 citations
142. Improved Approximation for Fair Correlation ClusteringPoster15 citations
143. Neural Laplace Control for Continuous-time Delayed SystemsPoster15 citations
144. On Generalization of Decentralized Learning with Separable DataPoster15 citations
145. Optimal Contextual Bandits with Knapsacks under Realizability via Regression OraclesPoster15 citations
146. Probing Graph RepresentationsPoster15 citations
147. Reinforcement Learning with Stepwise Fairness ConstraintsPoster15 citations
148. Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian ProcessesPoster15 citations
149. Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter ConvergencePoster15 citations
150. Tighter PAC-Bayes Generalisation Bounds by Leveraging Example DifficultyPoster15 citations
151. Ultra-marginal Feature Importance: Learning from Data with Causal GuaranteesPoster15 citations
152. Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-SizesPoster14 citations
153. Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationPoster14 citations
154. Automatic Attention Pruning: Improving and Automating Model Pruning using AttentionsPoster14 citations
155. Distributionally Robust Policy Gradient for Offline Contextual BanditsPoster14 citations
156. Domain Adaptation under Missingness ShiftPoster14 citations
157. Huber-robust confidence sequencesPoster14 citations
158. MMD-B-Fair: Learning Fair Representations with Statistical TestingPoster14 citations
159. Meta-Uncertainty in Bayesian Model ComparisonPoster14 citations
160. Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization BarrierPoster14 citations
161. Mode-Seeking Divergences: Theory and Applications to GANsPoster14 citations
162. Multi-Fidelity Bayesian Optimization with Unreliable Information SourcesPoster14 citations
163. Online Algorithms with Costly PredictionsPoster14 citations
164. Optimal Algorithms for Latent Bandits with Cluster StructurePoster14 citations
165. Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning ApproachPoster14 citations
166. Rethinking Initialization of the Sinkhorn AlgorithmPoster14 citations
167. Spectral Augmentations for Graph Contrastive LearningPoster14 citations
168. Subset verification and search algorithms for causal DAGsPoster14 citations
169. Uncertainty Estimates of Predictions via a General Bias-Variance DecompositionPoster14 citations
170. Uni6Dv2: Noise Elimination for 6D Pose EstimationPoster14 citations
171. Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale ConstraintsPoster14 citations
172. Actually Sparse Variational Gaussian ProcessesPoster13 citations
173. Approximate Regions of Attraction in Learning with Decision-Dependent DistributionsPoster13 citations
174. Characterizing Internal Evasion Attacks in Federated LearningPoster13 citations
175. Conformalized Unconditional Quantile RegressionPoster13 citations
176. Convex Bounds on the Softmax Function with Applications to Robustness VerificationPoster13 citations
177. Doubly Fair Dynamic PricingPoster13 citations
178. Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured SparsityPoster13 citations
179. Feasible Recourse Plan via Diverse InterpolationPoster13 citations
180. Generative Oversampling for Imbalanced Data via Majority-Guided VAEPoster13 citations
181. Group Distributionally Robust Reinforcement Learning with Hierarchical Latent VariablesPoster13 citations
182. Iterative Teaching by Data HallucinationPoster13 citations
183. On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy EvaluationPoster13 citations
184. Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit FeedbackPoster13 citations
185. Stochastic Optimization for Spectral Risk MeasuresPoster13 citations
186. The Power of Recursion in Graph Neural Networks for Counting SubstructuresPoster13 citations
187. A Mini-Block Fisher Method for Deep Neural NetworksPoster12 citations
188. Active Learning for Single Neuron Models with Lipschitz Non-LinearitiesPoster12 citations
189. An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior KnowledgePoster12 citations
190. Estimating Conditional Average Treatment Effects with Missing Treatment InformationPoster12 citations
191. Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled DataPoster12 citations
192. Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-BanditsPoster12 citations
193. Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness GamesPoster12 citations
194. Near-Optimal Differentially Private Reinforcement LearningPoster12 citations
195. Nearly Optimal Latent State Decoding in Block MDPsPoster12 citations
196. Nyström Method for Accurate and Scalable Implicit DifferentiationPoster12 citations
197. Score-based Quickest Change Detection for Unnormalized ModelsPoster12 citations
198. Sparse Bayesian optimizationPoster12 citations
199. Transport Elliptical Slice SamplingPoster12 citations
200. Adaptive Tuning for Metropolis Adjusted Langevin TrajectoriesPoster11 citations
201. Algorithm for Constrained Markov Decision Process with Linear ConvergencePoster11 citations
202. Balanced Off-Policy Evaluation for Personalized PricingPoster11 citations
203. Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning ApproachPoster11 citations
204. Bures-Wasserstein Barycenters and Low-Rank Matrix RecoveryPoster11 citations
205. Data Augmentation for Imbalanced RegressionPoster11 citations
206. Exact Gradient Computation for Spiking Neural Networks via Forward PropagationPoster11 citations
207. Exploration in Reward Machines with Low RegretPoster11 citations
208. Leveraging Instance Features for Label Aggregation in Programmatic Weak SupervisionPoster11 citations
209. Manifold Restricted Interventional Shapley ValuesPoster11 citations
210. On the Calibration of Probabilistic Classifier SetsPoster11 citations
211. Overparameterized Random Feature Regression with Nearly Orthogonal DataPoster11 citations
212. PAC-Bayesian Learning of Optimization AlgorithmsPoster11 citations
213. Representation Learning in Deep RL via Discrete Information BottleneckPoster11 citations
214. Revisiting Fair-PAC Learning and the Axioms of Cardinal WelfarePoster11 citations
215. Robust and Agnostic Learning of Conditional Distributional Treatment EffectsPoster11 citations
216. Scalable Bicriteria Algorithms for Non-Monotone Submodular CoverPoster11 citations
217. TS-UCB: Improving on Thompson Sampling With Little to No Additional ComputationPoster11 citations
218. Vector Optimization with Stochastic Bandit FeedbackPoster11 citations
219. Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node RepresentationsPoster11 citations
220. Compositional Probabilistic and Causal Inference using Tractable Circuit ModelsPoster10 citations
221. Error Estimation for Random Fourier FeaturesPoster10 citations
222. Estimating Total Correlation with Mutual Information EstimatorsPoster10 citations
223. Fair Representation Learning with Unreliable LabelsPoster10 citations
224. Falsification of Internal and External Validity in Observational Studies via Conditional Moment RestrictionsPoster10 citations
225. ForestPrune: Compact Depth-Pruned Tree EnsemblesPoster10 citations
226. Hedging against Complexity: Distributionally Robust Optimization with Parametric ApproximationPoster10 citations
227. Implicit Graphon Neural RepresentationPoster10 citations
228. Is interpolation benign for random forest regression?Poster10 citations
229. Learning to Generalize Provably in Learning to OptimizePoster10 citations
230. MARS: Masked Automatic Ranks Selection in Tensor DecompositionsPoster10 citations
231. Minimax-Bayes Reinforcement LearningPoster10 citations
232. Nothing but Regrets — Privacy-Preserving Federated Causal DiscoveryPoster10 citations
233. On-Demand Communication for Asynchronous Multi-Agent BanditsPoster10 citations
234. Precision Recall Cover: A Method For Assessing Generative ModelsPoster10 citations
235. Rank-Based Causal Discovery for Post-Nonlinear ModelsPoster10 citations
236. Revisiting Weighted Strategy for Non-stationary Parametric BanditsPoster10 citations
237. Riemannian Accelerated Gradient Methods via ExtrapolationPoster10 citations
238. The ELBO of Variational Autoencoders Converges to a Sum of EntropiesPoster10 citations
239. A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel DataPoster9 citations
240. Bayesian Hierarchical Models for Counterfactual EstimationPoster9 citations
241. Deep Value Function Networks for Large-Scale Multistage Stochastic ProgramsPoster9 citations
242. Deep equilibrium models as estimators for continuous latent variablesPoster9 citations
243. Incremental Aggregated Riemannian Gradient Method for Distributed PCAPoster9 citations
244. Influence Diagnostics under Self-concordancePoster9 citations
245. Privacy-preserving Sparse Generalized Eigenvalue ProblemPoster9 citations
246. Provable Safe Reinforcement Learning with Binary FeedbackPoster9 citations
247. Scalable marked point processes for exchangeable and non-exchangeable event sequencesPoster9 citations
248. The communication cost of security and privacy in federated frequency estimationPoster9 citations
249. Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte CarloPoster9 citations
250. A Bregman Divergence View on the Difference-of-Convex AlgorithmPoster8 citations
251. A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action SpacePoster8 citations
252. ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling BanditsPoster8 citations
253. Adversarial robustness of VAEs through the lens of local geometryPoster8 citations
254. Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixturePoster8 citations
255. Average case analysis of Lasso under ultra sparse conditionsPoster8 citations
256. Bayesian Structure Scores for Probabilistic CircuitsPoster8 citations
257. CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionPoster8 citations
258. Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithmsPoster8 citations
259. Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential PrivacyPoster8 citations
260. Isotropic Gaussian Processes on Finite Spaces of GraphsPoster8 citations
261. Learning to Optimize with Stochastic Dominance ConstraintsPoster8 citations
262. Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General InitializationPoster8 citations
263. Optimal Sketching Bounds for Sparse Linear RegressionPoster8 citations
264. Sample Complexity of Kernel-Based Q-LearningPoster8 citations
265. Scalable Unbalanced Sobolev Transport for Measures on a GraphPoster8 citations
266. SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic FilterbanksPoster8 citations
267. T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease ProgressionPoster8 citations
268. A Faster Sampler for Discrete Determinantal Point ProcessesPoster7 citations
269. Boosted Off-Policy LearningPoster7 citations
270. Characterizing Polarization in Social Networks using the Signed Relational Latent Distance ModelPoster7 citations
271. Coordinate Descent for SLOPEPoster7 citations
272. Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven ModelsPoster7 citations
273. High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate DescentPoster7 citations
274. Improved Rate of First Order Algorithms for Entropic Optimal TransportPoster7 citations
275. Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph EmbeddingPoster7 citations
276. Large deviations rates for stochastic gradient descent with strongly convex functionsPoster7 citations
277. Learning in RKHM: a C*-Algebraic Twist for Kernel MachinesPoster7 citations
278. Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence RatePoster7 citations
279. Online Learning for Traffic Routing under Unknown PreferencesPoster7 citations
280. Posterior Tracking Algorithm for Classification BanditsPoster7 citations
281. Precision/Recall on Imbalanced Test DataPoster7 citations
282. Pricing against a Budget and ROI Constrained BuyerPoster7 citations
283. Probabilities of Causation: Role of Observational DataPoster7 citations
284. Robust Variational Autoencoding with Wasserstein Penalty for Novelty DetectionPoster7 citations
285. Second Order Path Variationals in Non-Stationary Online LearningPoster7 citations
286. Stochastic Methods for AUC Optimization subject to AUC-based Fairness ConstraintsPoster7 citations
287. A Novel Stochastic Gradient Descent Algorithm for Learning Principal SubspacesPoster6 citations
288. A Sea of Words: An In-Depth Analysis of Anchors for Text DataPoster6 citations
289. Contextual Linear Bandits under Noisy Features: Towards Bayesian OraclesPoster6 citations
290. Deep Joint Source-Channel Coding with Iterative Source Error CorrectionPoster6 citations
291. Deep Neural Networks with Efficient Guaranteed InvariancesPoster6 citations
292. Distance-to-Set Priors and Constrained Bayesian InferencePoster6 citations
293. Exploration in Linear Bandits with Rich Action Sets and its Implications for InferencePoster6 citations
294. Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement LearningPoster6 citations
295. Geometric Random Walk Graph Neural Networks via Implicit LayersPoster6 citations
296. How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?Poster6 citations
297. Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection ClassesPoster6 citations
298. Improving Dual-Encoder Training through Dynamic Indexes for Negative MiningPoster6 citations
299. Instance-dependent Sample Complexity Bounds for Zero-sum Matrix GamesPoster6 citations
300. Learning from Multiple Sources for Data-to-Text and Text-to-DataPoster6 citations
301. Learning k-qubit Quantum Operators via Pauli DecompositionPoster6 citations
302. Learning with Partial Forgetting in Modern Hopfield NetworksPoster6 citations
303. Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image RepresentationPoster6 citations
304. Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-EncodersPoster6 citations
305. Multilevel Bayesian QuadraturePoster6 citations
306. Nonstochastic Contextual Combinatorial BanditsPoster6 citations
307. On Universal Portfolios with Continuous Side InformationPoster6 citations
308. On the Neural Tangent Kernel Analysis of Randomly Pruned Neural NetworksPoster6 citations
309. On the bias of K-fold cross validation with stable learnersPoster6 citations
310. Optimism and Delays in Episodic Reinforcement LearningPoster6 citations
311. Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning CurvesPoster6 citations
312. Safe Sequential Testing and Effect Estimation in Stratified Count DataPoster6 citations
313. Uncertainty-aware Unsupervised Video HashingPoster6 citations
314. Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event DataPoster6 citations
315. Uniformly Conservative Exploration in Reinforcement LearningPoster6 citations
316. {PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian OptimizationPoster6 citations
317. A Case of Exponential Convergence Rates for SVMPoster5 citations
318. A Contrastive Approach to Online Change Point DetectionPoster5 citations
319. ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural NetworksPoster5 citations
320. Adaptive Cholesky Gaussian ProcessesPoster5 citations
321. An Efficient and Continuous Voronoi Density EstimatorPoster5 citations
322. Bayesian Strategy-Proof Facility Location via Robust EstimationPoster5 citations
323. Bayesian Variable Selection in a Million DimensionsPoster5 citations
324. Classification of Adolescents’ Risky Behavior in Instant Messaging ConversationsPoster5 citations
325. Clustering above Exponential Families with Tempered Exponential MeasuresPoster5 citations
326. Differentially Private Synthetic ControlPoster5 citations
327. Direct Inference of Effect of Treatment (DIET) for a Cookieless WorldPoster5 citations
328. Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication ComplexityPoster5 citations
329. Efficient Informed Proposals for Discrete Distributions via Newton’s Series ApproximationPoster5 citations
330. Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement LearningPoster5 citations
331. Energy-Based Models for Functional Data using Path Measure TiltingPoster5 citations
332. Gradient-Informed Neural Network Statistical Robustness EstimationPoster5 citations
333. No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand DistributionPoster5 citations
334. On the Consistency Rate of Decision Tree Learning AlgorithmsPoster5 citations
335. Origins of Low-Dimensional Adversarial PerturbationsPoster5 citations
336. Provable Hierarchy-Based Meta-Reinforcement LearningPoster5 citations
337. Provably Efficient Reinforcement Learning via Surprise BoundPoster5 citations
338. Randomized geometric tools for anomaly detection in stock marketsPoster5 citations
339. Risk Bounds on Aleatoric Uncertainty RecoveryPoster5 citations
340. Robust Linear Regression for General Feature DistributionPoster5 citations
341. Semi-Verified PAC Learning from the CrowdPoster5 citations
342. Spread Flows for Manifold ModellingPoster5 citations
343. Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual BanditsPoster5 citations
344. Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional DataPoster5 citations
345. The Ordered Matrix Dirichlet for State-Space ModelsPoster5 citations
346. Theory and Algorithm for Batch Distribution Drift ProblemsPoster5 citations
347. Unsupervised representation learning with recognition-parametrised probabilistic modelsPoster5 citations
348. “Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGDPoster5 citations
349. An Unpooling Layer for Graph GenerationPoster4 citations
350. Barlow Graph Auto-Encoder for Unsupervised Network EmbeddingPoster4 citations
351. Bounding Evidence and Estimating Log-Likelihood in VAEPoster4 citations
352. Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial KernelPoster4 citations
353. DIET: Conditional independence testing with marginal dependence measures of residual informationPoster4 citations
354. Differentially Private Matrix Completion through Low-rank Matrix FactorizationPoster4 citations
355. EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph ModelPoster4 citations
356. Efficient SAGE Estimation via Causal Structure LearningPoster4 citations
357. Fast Feature Selection with Fairness ConstraintsPoster4 citations
358. Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood ModelsPoster4 citations
359. Flexible risk design using bi-directional dispersionPoster4 citations
360. Frequentist Uncertainty Quantification in Semi-Structured Neural NetworksPoster4 citations
361. Graph Alignment Kernels using Weisfeiler and Leman HierarchiesPoster4 citations
362. Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary SystemsPoster4 citations
363. Identification of Blackwell Optimal Policies for Deterministic MDPsPoster4 citations
364. Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank ApproximationPoster4 citations
365. Kernel Conditional Moment Constraints for Confounding Robust InferencePoster4 citations
366. LOFT: Finding Lottery Tickets through Filter-wise TrainingPoster4 citations
367. Matching Map Recovery with an Unknown Number of OutliersPoster4 citations
368. Meta-learning for Robust Anomaly DetectionPoster4 citations
369. No time to waste: practical statistical contact tracing with few low-bit messagesPoster4 citations
370. No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown UtilitiesPoster4 citations
371. Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse DiscoveryPoster4 citations
372. One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping BanditsPoster4 citations
373. One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement LearningPoster4 citations
374. Online Defense Strategies for Reinforcement Learning Against Adaptive Reward PoisoningPoster4 citations
375. Principled Approaches for Private Adaptation from a Public SourcePoster4 citations
376. Probabilistic Querying of Continuous-Time Event SequencesPoster4 citations
377. Randomized Primal-Dual Methods with Adaptive Step SizesPoster4 citations
378. Risk-aware linear bandits with convex lossPoster4 citations
379. Robust Linear Regression: Gradient-descent, Early-stopping, and BeyondPoster4 citations
380. Sample Complexity of Distinguishing Cause from EffectPoster4 citations
381. Singular Value Representation: A New Graph Perspective On Neural NetworksPoster4 citations
382. Sparse Spectral Bayesian Permanental Process with Generalized KernelPoster4 citations
383. A Statistical Learning Take on the Concordance Index for Survival AnalysisPoster3 citations
384. A Targeted Accuracy Diagnostic for Variational ApproximationsPoster3 citations
385. Active Cost-aware Labeling of Streaming DataPoster3 citations
386. Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial RegressionPoster3 citations
387. An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with BoundaryPoster3 citations
388. Blessing of Class Diversity in Pre-trainingPoster3 citations
389. Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric UncertaintyPoster3 citations
390. Competing against Adaptive Strategies in Online Learning via HintsPoster3 citations
391. Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAEPoster3 citations
392. Distributed Offline Policy Optimization Over Batch DataPoster3 citations
393. Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal OraclePoster3 citations
394. Knowledge Acquisition for Human-In-The-Loop Image CaptioningPoster3 citations
395. Krylov–Bellman boosting: Super-linear policy evaluation in general state spacesPoster3 citations
396. Mean Parity Fair Regression in RKHSPoster3 citations
397. Meta-Learning with Adjoint MethodsPoster3 citations
398. Mixtures of All TreesPoster3 citations
399. Multiple-policy High-confidence Policy EvaluationPoster3 citations
400. Neural Discovery of Permutation SubgroupsPoster3 citations
401. Online Linearized LASSOPoster3 citations
402. Piecewise Stationary Bandits under Risk CriteriaPoster3 citations
403. Pointwise sampling uncertainties on the Precision-Recall curvePoster3 citations
404. Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation GroupPoster3 citations
405. The Lie-Group Bayesian Learning RulePoster3 citations
406. The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical StudyPoster3 citations
407. Towards Balanced Representation Learning for Credit Policy EvaluationPoster3 citations
408. Transport Reversible Jump ProposalsPoster3 citations
409. A New Modeling Framework for Continuous, Sequential DomainsPoster2 citations
410. A Tale of Sampling and Estimation in Discounted Reinforcement LearningPoster2 citations
411. A Unified Perspective on Regularization and Perturbation in Differentiable Subset SelectionPoster2 citations
412. A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured OptimizationPoster2 citations
413. Adaptation to Misspecified Kernel Regularity in Kernelised BanditsPoster2 citations
414. Adversarial Noises Are Linearly Separable for (Nearly) Random Neural NetworksPoster2 citations
415. Approximating a RUM from Distributions on $k$-SlatesPoster2 citations
416. Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary EnvironmentsPoster2 citations
417. Beyond Performative Prediction: Open-environment Learning with Presence of CorruptionsPoster2 citations
418. BlitzMask: Real-Time Instance Segmentation Approach for Mobile DevicesPoster2 citations
419. Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum ModelPoster2 citations
420. Catalyst Acceleration of Error Compensated Methods Leads to Better Communication ComplexityPoster2 citations
421. Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation ModelsPoster2 citations
422. Convolutional Persistence as a Remedy to Neural Model AnalysisPoster2 citations
423. Density Ratio Estimation and Neyman Pearson Classification with Missing DataPoster2 citations
424. Fast Block Coordinate Descent for Non-Convex Group RegularizationsPoster2 citations
425. Fast Distributed k-Means with a Small Number of RoundsPoster2 citations
426. Heavy Sets with Applications to Interpretable Machine Learning DiagnosticsPoster2 citations
427. Improved Representation Learning Through Tensorized AutoencodersPoster2 citations
428. Learning Constrained Structured Spaces with Application to Multi-Graph MatchingPoster2 citations
429. Learning Robust Graph Neural Networks with Limited SupervisionPoster2 citations
430. Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial NetsPoster2 citations
431. Minimax Nonparametric Two-Sample Test under Adversarial LossesPoster2 citations
432. Mixed Linear Regression via Approximate Message PassingPoster2 citations
433. Mode-constrained Model-based Reinforcement Learning via Gaussian ProcessesPoster2 citations
434. Nonparametric Indirect Active LearningPoster2 citations
435. On the Complexity of Representation Learning in Contextual Linear BanditsPoster2 citations
436. Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz ConditionPoster2 citations
437. Optimal and Private Learning from Human Response DataPoster2 citations
438. PAC Learning of Halfspaces with Malicious Noise in Nearly Linear TimePoster2 citations
439. Recurrent Neural Networks and Universal Approximation of Bayesian FiltersPoster2 citations
440. Retrospective Uncertainties for Deep Models using Vine CopulasPoster2 citations
441. Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point AnalysisPoster2 citations
442. Sparsity-Inducing Categorical Prior Improves Robustness of the Information BottleneckPoster2 citations
443. Surveillance Evasion Through Bayesian Reinforcement LearningPoster2 citations
444. SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal RetrievalPoster2 citations
445. Testing of Horn SamplersPoster2 citations
446. The Lauritzen-Chen Likelihood For Graphical ModelsPoster2 citations
447. Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and AsymptoticsPoster2 citations
448. Variational Inference for Neyman-Scott ProcessesPoster2 citations
449. A New Causal Decomposition Paradigm towards Health EquityPoster1 citations
450. A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement LearningPoster1 citations
451. Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment BatteryPoster1 citations
452. Average Adjusted Association: Efficient Estimation with High Dimensional ConfoundersPoster1 citations
453. Clustering High-dimensional Data with Ordered Weighted $\ell_1$ RegularizationPoster1 citations
454. Coarse-Grained Smoothness for Reinforcement Learning in Metric SpacesPoster1 citations
455. Fitting low-rank models on egocentrically sampled partial networksPoster1 citations
456. Ideal Abstractions for Decision-Focused LearningPoster1 citations
457. Implications of sparsity and high triangle density for graph representation learningPoster1 citations
458. Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approachPoster1 citations
459. Interactive Learning with Pricing for Optimal and Stable Allocations in MarketsPoster1 citations
460. Learning Treatment Effects from Observational and Experimental DataPoster1 citations
461. Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal GeneralityPoster1 citations
462. Multi-Agent congestion cost minimization with linear function approximationsPoster1 citations
463. Nonparametric Gaussian Process Covariances via Multidimensional ConvolutionsPoster1 citations
464. Oblivious near-optimal sampling for multidimensional signals with Fourier constraintsPoster1 citations
465. On Model Selection Consistency of Lasso for High-Dimensional Ising ModelsPoster1 citations
466. On the Accelerated Noise-Tolerant Power MethodPoster1 citations
467. Reducing Discretization Error in the Frank-Wolfe MethodPoster1 citations
468. Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling LawsPoster1 citations
469. Smoothly Giving up: Robustness for Simple ModelsPoster1 citations
470. Statistical Analysis of Karcher Means for Random Restricted PSD MatricesPoster1 citations
471. Stochastic Mirror Descent for Large-Scale Sparse RecoveryPoster1 citations
472. Structure of Nonlinear Node Embeddings in Stochastic Block ModelsPoster1 citations
473. Thresholded linear banditsPoster1 citations
474. Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability MetricsPoster1 citations
475. Universal Agent Mixtures and the Geometry of IntelligencePoster1 citations
476. Variational Boosted Soft TreesPoster1 citations
477. Wasserstein Distributional Learning via Majorization-MinimizationPoster1 citations
478. A Constant-Factor Approximation Algorithm for Reconciliation $k$-MedianPoster
479. Bayesian Convolutional Deep Sets with Task-Dependent Stationary PriorPoster
480. Conjugate Gradient Method for Generative Adversarial NetworksPoster
481. Cooperative Inverse Decision Theory for Uncertain PreferencesPoster
482. Coordinate Ascent for Off-Policy RL with Global Convergence GuaranteesPoster
483. Differentiable Change-point Detection With Temporal Point ProcessesPoster
484. Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingPoster
485. Factorial SDE for Multi-Output Gaussian Process RegressionPoster
486. Fast Computation of Branching Process Transition Probabilities via ADMMPoster
487. Graph Spectral Embedding using the Geodesic Betweenness CentralityPoster
488. HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient DescentPoster
489. High Probability Bounds for Stochastic Continuous Submodular MaximizationPoster
490. Improved Bound on Generalization Error of Compressed KNN EstimatorPoster
491. Improved Robust Algorithms for Learning with Discriminative Feature FeedbackPoster
492. On the Capacity Limits of Privileged ERMPoster
493. Overcoming Prior Misspecification in Online Learning to RankPoster
494. Preferential Subsampling for Stochastic Gradient Langevin DynamicsPoster
495. Strong Lottery Ticket Hypothesis with $\varepsilon$–perturbationPoster
496. USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning EntropyPoster

Looking for submission deadlines instead? See the conference deadline calendar.