AISTATS 2022 Accepted Papers

The full list of 492 papers accepted at AISTATS 2022 (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. Federated Learning with Buffered Asynchronous AggregationPoster377 citations
2. Towards Understanding Biased Client Selection in Federated LearningPoster248 citations
3. CF-GNNExplainer: Counterfactual Explanations for Graph Neural NetworksPoster214 citations
4. Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningPoster167 citations
5. Differentially Private Federated Learning on Heterogeneous DataPoster141 citations
6. Optimal Accounting of Differential Privacy via Characteristic FunctionPoster125 citations
7. SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with SparsificationPoster125 citations
8. Generative Models as Distributions of FunctionsPoster124 citations
9. Proximal Optimal Transport Modeling of Population DynamicsPoster120 citations
10. Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With CocoercivityPoster113 citations
11. Mitigating Bias in Calibration Error EstimationPoster113 citations
12. Sinkformers: Transformers with Doubly Stochastic AttentionPoster102 citations
13. Performative Prediction in a Stateful WorldPoster97 citations
14. Sample Complexity of Robust Reinforcement Learning with a Generative ModelPoster95 citations
15. Federated Reinforcement Learning with Environment HeterogeneityPoster94 citations
16. A Single-Timescale Method for Stochastic Bilevel OptimizationPoster93 citations
17. MT3: Meta Test-Time Training for Self-Supervised Test-Time AdaptionPoster91 citations
18. Causally motivated shortcut removal using auxiliary labelsPoster85 citations
19. A general sample complexity analysis of vanilla policy gradientPoster83 citations
20. Convex Analysis of the Mean Field Langevin DynamicsPoster83 citations
21. Faster Single-loop Algorithms for Minimax Optimization without Strong ConcavityPoster77 citations
22. Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation MethodsPoster77 citations
23. Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical AnalysisPoster76 citations
24. Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov GamesPoster74 citations
25. Increasing the accuracy and resolution of precipitation forecasts using deep generative modelsPoster72 citations
26. Corruption-robust Offline Reinforcement LearningPoster69 citations
27. Sharp Bounds for Federated Averaging (Local SGD) and Continuous PerspectivePoster67 citations
28. Infinitely Deep Bayesian Neural Networks with Stochastic Differential EquationsPoster66 citations
29. Diversity and Generalization in Neural Network EnsemblesPoster64 citations
30. Independent Natural Policy Gradient always converges in Markov Potential GamesPoster64 citations
31. Privacy Amplification by DecentralizationPoster64 citations
32. Investigating the Role of Negatives in Contrastive Representation LearningPoster60 citations
33. Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax OptimizationPoster59 citations
34. Gaussian Process Bandit Optimization with Few BatchesPoster56 citations
35. Improved Approximation Algorithms for Individually Fair ClusteringPoster56 citations
36. Stochastic Extragradient: General Analysis and Improved RatesPoster55 citations
37. Non-stationary Online Learning with Memory and Non-stochastic ControlPoster54 citations
38. Reinforcement Learning with Fast Stabilization in Linear Dynamical SystemsPoster54 citations
39. An Information-Theoretic Justification for Model PruningPoster52 citations
40. Hierarchical Bayesian BanditsPoster52 citations
41. Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapPoster51 citations
42. Convergence of Langevin Monte Carlo in Chi-Squared and Rényi DivergencePoster50 citations
43. Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series ForecastingPoster50 citations
44. Parametric Bootstrap for Differentially Private Confidence IntervalsPoster50 citations
45. Density Ratio Estimation via Infinitesimal ClassificationPoster49 citations
46. On the Convergence of Continuous Constrained Optimization for Structure LearningPoster49 citations
47. Survival regression with proper scoring rules and monotonic neural networksPoster48 citations
48. Regret, stability & fairness in matching markets with bandit learnersPoster47 citations
49. State Dependent Performative Prediction with Stochastic ApproximationPoster47 citations
50. LIMESegment: Meaningful, Realistic Time Series ExplanationsPoster46 citations
51. Optimal Compression of Locally Differentially Private MechanismsPoster46 citations
52. Towards Federated Bayesian Network Structure Learning with Continuous OptimizationPoster45 citations
53. Transfer Learning with Gaussian Processes for Bayesian OptimizationPoster45 citations
54. A Dual Approach to Constrained Markov Decision Processes with Entropy RegularizationPoster44 citations
55. Neural Contextual Bandits without RegretPoster44 citations
56. QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated LearningPoster44 citations
57. Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision TreesPoster43 citations
58. Offline Policy Selection under UncertaintyPoster43 citations
59. Preference Exploration for Efficient Bayesian Optimization with Multiple OutcomesPoster43 citations
60. Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax OptimizationPoster42 citations
61. Asynchronous Upper Confidence Bound Algorithms for Federated Linear BanditsPoster41 citations
62. Differentially Private Histograms under Continual Observation: Streaming Selection into the UnknownPoster41 citations
63. Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal InferencePoster41 citations
64. On the Generalization of Representations in Reinforcement LearningPoster41 citations
65. Robust Stochastic Linear Contextual Bandits Under Adversarial AttacksPoster41 citations
66. Tight bounds for minimum $\ell_1$-norm interpolation of noisy dataPoster41 citations
67. Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint ViolationPoster41 citations
68. Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization LandscapePoster40 citations
69. SHAFF: Fast and consistent SHApley eFfect estimates via random ForestsPoster40 citations
70. Super-Acceleration with Cyclical Step-sizesPoster40 citations
71. Resampling Base Distributions of Normalizing FlowsPoster39 citations
72. Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed BanditsPoster38 citations
73. Outlier-Robust Optimal Transport: Duality, Structure, and Statistical AnalysisPoster38 citations
74. Robust Training in High Dimensions via Block Coordinate Geometric Median DescentPoster38 citations
75. Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionPoster37 citations
76. Fast Distributionally Robust Learning with Variance-Reduced Min-Max OptimizationPoster37 citations
77. An Online Learning Approach to Interpolation and Extrapolation in Domain GeneralizationPoster36 citations
78. Contrasting the landscape of contrastive and non-contrastive learningPoster36 citations
79. Fast and accurate optimization on the orthogonal manifold without retractionPoster36 citations
80. Deep Multi-Fidelity Active Learning of High-Dimensional OutputsPoster35 citations
81. An Optimal Algorithm for Strongly Convex Minimization under Affine ConstraintsPoster34 citations
82. Structured Multi-task Learning for Molecular Property PredictionPoster34 citations
83. Tuning-Free Generalized Hamiltonian Monte CarloPoster34 citations
84. A New Notion of Individually Fair Clustering: $α$-Equitable $k$-CenterPoster33 citations
85. Multivariate Quantile Function ForecasterPoster33 citations
86. Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and BeyondPoster33 citations
87. Strategic rankingPoster33 citations
88. Unifying Importance Based Regularisation Methods for Continual LearningPoster33 citations
89. An Information-theoretical Approach to Semi-supervised Learning under Covariate-shiftPoster32 citations
90. How to Learn when Data Gradually Reacts to Your ModelPoster32 citations
91. Masked Training of Neural Networks with Partial GradientsPoster32 citations
92. PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian RegimePoster32 citations
93. Robust Probabilistic Time Series ForecastingPoster32 citations
94. Predicting the impact of treatments over time with uncertainty aware neural differential equations.Poster31 citations
95. Projection Predictive Inference for Generalized Linear and Additive Multilevel ModelsPoster31 citations
96. A Witness Two-Sample TestPoster30 citations
97. Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-WolfePoster30 citations
98. Jointly Efficient and Optimal Algorithms for Logistic BanditsPoster30 citations
99. LocoProp: Enhancing BackProp via Local Loss OptimizationPoster30 citations
100. Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPsPoster30 citations
101. Online Page Migration with ML AdvicePoster30 citations
102. Permutation Equivariant Layers for Higher Order InteractionsPoster30 citations
103. Decoupling Local and Global Representations of Time SeriesPoster29 citations
104. Last Layer Marginal Likelihood for Invariance LearningPoster29 citations
105. Online Learning for Unknown Partially Observable MDPsPoster29 citations
106. Weighted Gaussian Process Bandits for Non-stationary EnvironmentsPoster29 citations
107. Wide Mean-Field Bayesian Neural Networks Ignore the DataPoster29 citations
108. Basis Matters: Better Communication-Efficient Second Order Methods for Federated LearningPoster28 citations
109. Best Arm Identification with Safety ConstraintsPoster28 citations
110. On Margins and Derandomisation in PAC-BayesPoster28 citations
111. On the Global Optimum Convergence of Momentum-based Policy GradientPoster28 citations
112. Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown NoisePoster28 citations
113. Acceleration in Distributed Optimization under SimilarityPoster27 citations
114. Conditionally Gaussian PAC-BayesPoster27 citations
115. MLDemon:Deployment Monitoring for Machine Learning SystemsPoster27 citations
116. Momentum Accelerates the Convergence of Stochastic AUPRC MaximizationPoster27 citations
117. Nearly Optimal Algorithms for Level Set EstimationPoster27 citations
118. Accurate Shapley Values for explaining tree-based modelsPoster26 citations
119. Adaptive Gaussian Processes on Graphs via Spectral Graph WaveletsPoster26 citations
120. Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival AnalysisPoster26 citations
121. Generalised GPLVM with Stochastic Variational InferencePoster26 citations
122. Learning Revenue-Maximizing Auctions With Differentiable MatchingPoster26 citations
123. Learning from Multiple Noisy Partial LabelersPoster26 citations
124. Minimal Expected Regret in Linear Quadratic ControlPoster26 citations
125. Model-agnostic out-of-distribution detection using combined statistical testsPoster26 citations
126. Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsPoster26 citations
127. On the complexity of the optimal transport problem with graph-structured costPoster26 citations
128. Two-Sample Test with Kernel Projected Wasserstein DistancePoster26 citations
129. A Random Matrix Perspective on Mixtures of Nonlinearities in High DimensionsPoster25 citations
130. Fast Sparse Classification for Generalized Linear and Additive ModelsPoster25 citations
131. Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?Poster25 citations
132. Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function ApproximationPoster25 citations
133. On the Assumptions of Synthetic Control MethodsPoster25 citations
134. Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence ModelsPoster25 citations
135. Self-training Converts Weak Learners to Strong Learners in Mixture ModelsPoster25 citations
136. Efficient Hyperparameter Tuning for Large Scale Kernel Ridge RegressionPoster24 citations
137. Efficient Kernelized UCB for Contextual BanditsPoster24 citations
138. Label differential privacy via clusteringPoster24 citations
139. On PAC-Bayesian reconstruction guarantees for VAEsPoster24 citations
140. Metalearning Linear Bandits by Prior UpdatePoster23 citations
141. New Coresets for Projective Clustering and ApplicationsPoster23 citations
142. Non-separable Spatio-temporal Graph Kernels via SPDEsPoster23 citations
143. Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function ApproximationPoster23 citations
144. Diversified Sampling for Batched Bayesian Optimization with Determinantal Point ProcessesPoster22 citations
145. Moment Matching Deep Contrastive Latent Variable ModelsPoster22 citations
146. Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal TransportPoster22 citations
147. Sobolev Transport: A Scalable Metric for Probability Measures with Graph MetricsPoster22 citations
148. Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk MinimizationPoster22 citations
149. A Unified View of SDP-based Neural Network Verification through Completely Positive ProgrammingPoster21 citations
150. Certifiably Robust Variational AutoencodersPoster21 citations
151. FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated LearningPoster21 citations
152. Learning a Single Neuron for Non-monotonic Activation FunctionsPoster21 citations
153. On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration AveragingPoster21 citations
154. Solving Multi-Arm Bandit Using a Few Bits of CommunicationPoster21 citations
155. Being a Bit Frequentist Improves Bayesian Neural NetworksPoster20 citations
156. Complex Momentum for Optimization in GamesPoster20 citations
157. Fixed Support Tree-Sliced Wasserstein BarycenterPoster20 citations
158. Learning in Stochastic Monotone Games with Decision-Dependent DataPoster20 citations
159. Online Competitive Influence MaximizationPoster20 citations
160. Provable Lifelong Learning of RepresentationsPoster20 citations
161. REPID: Regional Effect Plots with implicit Interaction DetectionPoster20 citations
162. Safe Active Learning for Multi-Output Gaussian ProcessesPoster20 citations
163. The Curse of Passive Data Collection in Batch Reinforcement LearningPoster20 citations
164. The Importance of Future Information in Credit Card Fraud DetectionPoster20 citations
165. A general class of surrogate functions for stable and efficient reinforcement learningPoster19 citations
166. Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex OptimizationPoster19 citations
167. Efficient Online Bayesian Inference for Neural BanditsPoster19 citations
168. Sample-and-threshold differential privacy: Histograms and applicationsPoster19 citations
169. Towards Return Parity in Markov Decision ProcessesPoster19 citations
170. Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast RatesPoster19 citations
171. A Class of Geometric Structures in Transfer Learning: Minimax Bounds and OptimalityPoster18 citations
172. A Non-asymptotic Approach to Best-Arm Identification for Gaussian BanditsPoster18 citations
173. Are All Linear Regions Created Equal?Poster18 citations
174. Calibration Error for Heterogeneous Treatment EffectsPoster18 citations
175. Equivariance Discovery by Learned Parameter-SharingPoster18 citations
176. Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learningPoster18 citations
177. Measuring the robustness of Gaussian processes to kernel choicePoster18 citations
178. Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential EquationsPoster18 citations
179. Thompson Sampling with a Mixture PriorPoster18 citations
180. Adversarial Tracking Control via Strongly Adaptive Online Learning with MemoryPoster17 citations
181. Analysis of a Target-Based Actor-Critic Algorithm with Linear Function ApproximationPoster17 citations
182. Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs AlgorithmPoster17 citations
183. Common Information based Approximate State Representations in Multi-Agent Reinforcement LearningPoster17 citations
184. Gap-Dependent Unsupervised Exploration for Reinforcement LearningPoster17 citations
185. Maillard Sampling: Boltzmann Exploration Done OptimallyPoster17 citations
186. Optimal estimation of Gaussian DAG modelsPoster17 citations
187. Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATEPoster16 citations
188. Data-splitting improves statistical performance in overparameterized regimesPoster16 citations
189. Deep Non-crossing Quantiles through the Partial DerivativePoster16 citations
190. Differentially Private Regression with Unbounded CovariatesPoster16 citations
191. Grassmann Stein Variational Gradient DescentPoster16 citations
192. Harmless interpolation in regression and classification with structured featuresPoster16 citations
193. Local SGD Optimizes Overparameterized Neural Networks in Polynomial TimePoster16 citations
194. Multiway Spherical Clustering via Degree-Corrected Tensor Block ModelsPoster16 citations
195. Neural score matching for high-dimensional causal inferencePoster16 citations
196. On Distributionally Robust Optimization and Data RebalancingPoster16 citations
197. Parallel MCMC Without Embarrassing FailuresPoster16 citations
198. Pulling back information geometryPoster16 citations
199. Solving Marginal MAP Exactly by Probabilistic Circuit TransformationsPoster16 citations
200. Transductive Robust Learning GuaranteesPoster16 citations
201. Variational Marginal Particle FiltersPoster16 citations
202. Weak Separation in Mixture Models and Implications for Principal StratificationPoster16 citations
203. A prior-based approximate latent Riemannian metricPoster15 citations
204. Asynchronous Distributed Optimization with Stochastic DelaysPoster15 citations
205. Cross-Loss Influence Functions to Explain Deep Network RepresentationsPoster15 citations
206. DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor SearchPoster15 citations
207. Entropy Regularized Optimal Transport Independence CriterionPoster15 citations
208. Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge RegressionPoster15 citations
209. Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticityPoster15 citations
210. Identity Testing of Reversible Markov ChainsPoster15 citations
211. Many processors, little time: MCMC for partitions via optimal transport couplingsPoster15 citations
212. Nonstochastic Bandits and Experts with Arm-Dependent DelaysPoster15 citations
213. Norm-Agnostic Linear BanditsPoster15 citations
214. On Combining Bags to Better Learn from Label ProportionsPoster15 citations
215. Pareto Optimal Model Selection in Linear BanditsPoster15 citations
216. Robustness and Reliability When Training With Noisy LabelsPoster15 citations
217. Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential NoisePoster15 citations
218. A Last Switch Dependent Analysis of Satiation and Seasonality in BanditsPoster14 citations
219. A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsPoster14 citations
220. Adaptive Importance Sampling meets Mirror Descent : a Bias-variance TradeoffPoster14 citations
221. Chernoff Sampling for Active Testing and Extension to Active RegressionPoster14 citations
222. Differentially Private Densest SubgraphPoster14 citations
223. Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient MethodsPoster14 citations
224. Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesPoster14 citations
225. Hardness of Learning a Single Neuron with Adversarial Label NoisePoster14 citations
226. Heavy-tailed Streaming Statistical EstimationPoster14 citations
227. Physics Informed Deep Kernel LearningPoster14 citations
228. Practical Schemes for Finding Near-Stationary Points of Convex Finite-SumsPoster14 citations
229. Primal-Dual Stochastic Mirror Descent for MDPsPoster14 citations
230. Randomized Stochastic Gradient Descent AscentPoster14 citations
231. Threading the Needle of On and Off-Manifold Value Functions for Shapley ExplanationsPoster14 citations
232. Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow ProposalsPoster13 citations
233. Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical AnalysisPoster13 citations
234. Data Appraisal Without Data SharingPoster13 citations
235. Implicitly Regularized RL with Implicit Q-valuesPoster13 citations
236. Lagrangian manifold Monte Carlo on Monge patchesPoster13 citations
237. Learning from an Exploring Demonstrator: Optimal Reward Estimation for BanditsPoster13 citations
238. Leveraging Time Irreversibility with Order-Contrastive Pre-trainingPoster13 citations
239. Modelling Non-Smooth Signals with Complex Spectral StructurePoster13 citations
240. On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational ComplexityPoster13 citations
241. On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based OptimizationPoster13 citations
242. On the Value of Prior in Online Learning to RankPoster13 citations
243. Online Continual Adaptation with Active Self-TrainingPoster13 citations
244. Sampling from Arbitrary Functions via PSD ModelsPoster13 citations
245. Sobolev Norm Learning Rates for Conditional Mean EmbeddingsPoster13 citations
246. Spectral risk-based learning using unbounded lossesPoster13 citations
247. The Fast Kernel TransformPoster13 citations
248. Cycle Consistent Probability Divergences Across Different SpacesPoster12 citations
249. Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational InferencePoster12 citations
250. Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference BanditsPoster12 citations
251. Model-free Policy Learning with Reward GradientsPoster12 citations
252. Orbital MCMCPoster12 citations
253. Pairwise Fairness for Ordinal RegressionPoster12 citations
254. Pairwise Supervision Can Provably Elicit a Decision BoundaryPoster12 citations
255. Provable Continual Learning via Sketched Jacobian ApproximationsPoster12 citations
256. Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and ApplicationsPoster12 citations
257. p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and CoresetsPoster12 citations
258. Bayesian Link Prediction with Deep Graph Convolutional Gaussian ProcessesPoster11 citations
259. Co-Regularized Adversarial Learning for Multi-Domain Text ClassificationPoster11 citations
260. Denoising and change point localisation in piecewise-constant high-dimensional regression coefficientsPoster11 citations
261. Double Control Variates for Gradient Estimation in Discrete Latent Variable ModelsPoster11 citations
262. Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputsPoster11 citations
263. Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov ProcessesPoster11 citations
264. Exact Community Recovery over Signed GraphsPoster11 citations
265. Finding Valid Adjustments under Non-ignorability with Minimal DAG KnowledgePoster11 citations
266. Firebolt: Weak Supervision Under Weaker AssumptionsPoster11 citations
267. Generalized Group TestingPoster11 citations
268. Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal EffectsPoster11 citations
269. Learning Interpretable, Tree-Based Projection Mappings for Nonlinear EmbeddingsPoster11 citations
270. Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian UnlearningPoster11 citations
271. Obtaining Causal Information by Merging Datasets with MAXENTPoster11 citations
272. Towards an Understanding of Default Policies in Multitask Policy OptimizationPoster11 citations
273. Vanishing Curvature in Randomly Initialized Deep ReLU NetworksPoster11 citations
274. A Bandit Model for Human-Machine Decision Making with Private Information and OpacityPoster10 citations
275. A Bayesian Model for Online Activity Sample SizesPoster10 citations
276. A Predictive Approach to Bayesian Nonparametric Survival AnalysisPoster10 citations
277. Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio EstimationPoster10 citations
278. Can we Generalize and Distribute Private Representation Learning?Poster10 citations
279. Conditional Gradients for the Approximately Vanishing IdealPoster10 citations
280. Coresets for Data Discretization and Sine Wave FittingPoster10 citations
281. Efficient interventional distribution learning in the PAC frameworkPoster10 citations
282. Node Feature Kernels Increase Graph Convolutional Network RobustnessPoster10 citations
283. Nonstationary multi-output Gaussian processes via harmonizable spectral mixturesPoster10 citations
284. On Coresets for Fair Regression and Individually Fair ClusteringPoster10 citations
285. Pick-and-Mix Information Operators for Probabilistic ODE SolversPoster10 citations
286. Safe Optimal Design with Applications in Off-Policy LearningPoster10 citations
287. Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection RatesPoster10 citations
288. Stateful Offline Contextual Policy Evaluation and LearningPoster10 citations
289. Towards Statistical and Computational Complexities of Polyak Step Size Gradient DescentPoster10 citations
290. Confident Least Square Value Iteration with Local Access to a SimulatorPoster9 citations
291. Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time DataPoster9 citations
292. Efficient Algorithms for Extreme BanditsPoster9 citations
293. Feature Collapsing for Gaussian Process Variable RankingPoster9 citations
294. Federated Functional Gradient BoostingPoster9 citations
295. Finding Nearly Everything within Random Binary NetworksPoster9 citations
296. Gap-Dependent Bounds for Two-Player Markov GamesPoster9 citations
297. Learning Inconsistent Preferences with Gaussian ProcessesPoster9 citations
298. Look-Ahead Acquisition Functions for Bernoulli Level Set EstimationPoster9 citations
299. Minimax Optimization: The Case of Convex-SubmodularPoster9 citations
300. Multi-armed Bandit Algorithm against Strategic ReplicationPoster9 citations
301. Nuances in Margin Conditions Determine Gains in Active LearningPoster9 citations
302. On perfectness in Gaussian graphical modelsPoster9 citations
303. Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithmPoster9 citations
304. Outcome Assumptions and Duality Theory for Balancing WeightsPoster9 citations
305. Point Cloud Generation with Continuous ConditioningPoster9 citations
306. Sampling in Dirichlet Process Mixture Models for Clustering Streaming DataPoster9 citations
307. Adaptive A/B Test on Networks with Cluster StructuresPoster8 citations
308. Causal Effect Identification with Context-specific Independence Relations of Control VariablesPoster8 citations
309. Fair Disaster Containment via Graph-Cut ProblemsPoster8 citations
310. Fast Rank-1 NMF for Missing Data with KL DivergencePoster8 citations
311. Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum GamesPoster8 citations
312. Improved Algorithms for Misspecified Linear Markov Decision ProcessesPoster8 citations
313. Mean Nyström Embeddings for Adaptive Compressive LearningPoster8 citations
314. Off-Policy Risk Assessment for Markov Decision ProcessesPoster8 citations
315. On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed BoundsPoster8 citations
316. On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio CorrectionPoster8 citations
317. On the equivalence of Oja’s algorithm and GROUSEPoster8 citations
318. Policy Learning and Evaluation with Randomized Quasi-Monte CarloPoster8 citations
319. Rapid Convergence of Informed Importance TemperingPoster8 citations
320. SAN: Stochastic Average Newton Algorithm for Minimizing Finite SumsPoster8 citations
321. Sensing Cox Processes via Posterior Sampling and Positive BasesPoster8 citations
322. Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fitPoster8 citations
323. Top K Ranking for Multi-Armed Bandit with Noisy EvaluationsPoster8 citations
324. Variance Minimization in the Wasserstein Space for Invariant Causal PredictionPoster8 citations
325. A Contraction Theory Approach to Optimization Algorithms from Acceleration FlowsPoster7 citations
326. A Spectral Perspective of DNN Robustness to Label NoisePoster7 citations
327. Adversarially Robust Kernel SmoothingPoster7 citations
328. Amortized Rejection Sampling in Universal Probabilistic ProgrammingPoster7 citations
329. An Alternate Policy Gradient Estimator for Softmax PoliciesPoster7 citations
330. Approximate Function Evaluation via Multi-Armed BanditsPoster7 citations
331. Asymptotically Optimal Locally Private Heavy Hitters via Parameterized SketchesPoster7 citations
332. Bayesian Classifier Fusion with an Explicit Model of CorrelationPoster7 citations
333. Controlling Epidemic Spread using Probabilistic Diffusion Models on NetworksPoster7 citations
334. Convergent Working Set Algorithm for Lasso with Non-Convex Sparse RegularizersPoster7 citations
335. Deep Neyman-Scott ProcessesPoster7 citations
336. Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motionPoster7 citations
337. Dimensionality Reduction and Prioritized Exploration for Policy SearchPoster7 citations
338. Dropout as a Regularizer of Interaction EffectsPoster7 citations
339. Duel-based Deep Learning system for solving IQ testsPoster7 citations
340. Federated Myopic Community Detection with One-shot CommunicationPoster7 citations
341. Near Instance Optimal Model Selection for Pure Exploration Linear BanditsPoster7 citations
342. Reward-Free Policy Space Compression for Reinforcement LearningPoster7 citations
343. Sketch-and-lift: scalable subsampled semidefinite program for K-means clusteringPoster7 citations
344. Statistical and computational thresholds for the planted k-densest sub-hypergraph problemPoster7 citations
345. Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular DataPoster7 citations
346. TD-GEN: Graph Generation Using Tree DecompositionPoster7 citations
347. The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?Poster7 citations
348. Using time-series privileged information for provably efficient learning of prediction modelsPoster7 citations
349. A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term ConstraintsPoster6 citations
350. Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive DiscretizationPoster6 citations
351. Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise ComparisonsPoster6 citations
352. Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic InterventionsPoster6 citations
353. Approximate Top-$m$ Arm Identification with Heterogeneous Reward VariancesPoster6 citations
354. Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved ConfoundingPoster6 citations
355. Bias-Variance Decompositions for Margin LossesPoster6 citations
356. Compressed Rule Ensemble LearningPoster6 citations
357. Convergence of online k-meansPoster6 citations
358. Debiasing Samples from Online Learning Using BootstrapPoster6 citations
359. Encrypted Linear Contextual BanditPoster6 citations
360. Entrywise Recovery Guarantees for Sparse PCA via Sparsistent AlgorithmsPoster6 citations
361. Iterative Alignment FlowsPoster6 citations
362. Learning Quantile Functions for Temporal Point Processes with Recurrent Neural SplinesPoster6 citations
363. Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss FunctionPoster6 citations
364. On Learning Mixture Models with Sparse ParametersPoster6 citations
365. On the Consistency of Max-Margin LossesPoster6 citations
366. On the Implicit Bias of Gradient Descent for Temporal ExtrapolationPoster6 citations
367. Particle-based Adversarial Local Distribution RegularizationPoster6 citations
368. Privacy Amplification by Subsampling in Time DomainPoster6 citations
369. Provable Adversarial Robustness for Fractional Lp Threat ModelsPoster6 citations
370. Random Effect BanditsPoster6 citations
371. Unlabeled Data Help: Minimax Analysis and Adversarial RobustnessPoster6 citations
372. Variational Gaussian Processes: A Functional Analysis ViewPoster6 citations
373. A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement LearningPoster5 citations
374. Adaptive Multi-Goal ExplorationPoster5 citations
375. Adaptively Partitioning Max-Affine Estimators for Convex RegressionPoster5 citations
376. How and When Random Feedback Works: A Case Study of Low-Rank Matrix FactorizationPoster5 citations
377. Improving Attribution Methods by Learning Submodular FunctionsPoster5 citations
378. Kantorovich Mechanism for Pufferfish PrivacyPoster5 citations
379. Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional ConsistencyPoster5 citations
380. Learning Personalized Item-to-Item Recommendation Metric via Implicit FeedbackPoster5 citations
381. Learning Proposals for Practical Energy-Based RegressionPoster5 citations
382. Marginalising over Stationary Kernels with Bayesian QuadraturePoster5 citations
383. Meta Learning MDPs with linear transition modelsPoster5 citations
384. Modeling Conditional Dependencies in Multiagent TrajectoriesPoster5 citations
385. Multi-class classification in nonparametric active learningPoster5 citations
386. Neural Enhanced Dynamic Message PassingPoster5 citations
387. On Linear Model with Markov Signal PriorsPoster5 citations
388. PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal ConsistencyPoster5 citations
389. PAC Mode Estimation using PPR Martingale Confidence SequencesPoster5 citations
390. Policy Learning for Optimal Individualized Dose IntervalsPoster5 citations
391. Second-Order Sensitivity Analysis for Bilevel OptimizationPoster5 citations
392. Uncertainty Quantification for Bayesian OptimizationPoster5 citations
393. A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement LearningPoster4 citations
394. A Manifold View of Adversarial RiskPoster4 citations
395. AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep LearningPoster4 citations
396. Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic AlgorithmsPoster4 citations
397. Computing D-Stationary Points of $ρ$-Margin Loss SVMPoster4 citations
398. Deep Layer-wise Networks Have Closed-Form WeightsPoster4 citations
399. Differential privacy for symmetric log-concave mechanismsPoster4 citations
400. Equivariant Deep Dynamical Model for Motion PredictionPoster4 citations
401. Estimators of Entropy and Information via Inference in Probabilistic ModelsPoster4 citations
402. Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement LearningPoster4 citations
403. Learning Competitive Equilibria in Exchange Economies with Bandit FeedbackPoster4 citations
404. Learning Sparse Fixed-Structure Gaussian Bayesian NetworksPoster4 citations
405. Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User FeedbackPoster4 citations
406. Lifted Division for Lifted Hugin Belief PropagationPoster4 citations
407. Margin-distancing for safe model explanationPoster4 citations
408. On the Interplay between Information Loss and Operation Loss in Representations for ClassificationPoster4 citations
409. Optimal partition recovery in general graphsPoster4 citations
410. PAC Top-$k$ Identification under SST in Limited RoundsPoster4 citations
411. Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value FunctionsPoster4 citations
412. Rejection sampling from shape-constrained distributions in sublinear timePoster4 citations
413. Scaling and Scalability: Provable Nonconvex Low-Rank Tensor CompletionPoster4 citations
414. Spectral Pruning for Recurrent Neural NetworksPoster4 citations
415. Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial ModelsPoster4 citations
416. Spiked Covariance Estimation from Modulo-Reduced MeasurementsPoster4 citations
417. Structured variational inference in Bayesian state-space modelsPoster4 citations
418. A Complete Characterisation of ReLU-Invariant DistributionsPoster3 citations
419. CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsPoster3 citations
420. Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferencePoster3 citations
421. Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s TheoremPoster3 citations
422. Finding Dynamics Preserving Adversarial Winning TicketsPoster3 citations
423. GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RLPoster3 citations
424. Learning Tensor Representations for Meta-LearningPoster3 citations
425. Nonparametric Relational Models with SuperrectangulationPoster3 citations
426. On Convergence of Lookahead in Smooth GamesPoster3 citations
427. On Facility Location Problem in the Local Differential Privacy ModelPoster3 citations
428. One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and LimitationPoster3 citations
429. Predictive variational Bayesian inference as risk-seeking optimizationPoster3 citations
430. Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit OptimizationPoster3 citations
431. Relational Neural Markov Random FieldsPoster3 citations
432. Tile Networks: Learning Optimal Geometric Layout for Whole-page RecommendationPoster3 citations
433. VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity RecognitionPoster3 citations
434. Aligned Multi-Task Gaussian ProcessPoster2 citations
435. An Unsupervised Hunt for Gravitational LensesPoster2 citations
436. Conditionally Tractable Density Estimation using Neural NetworksPoster2 citations
437. Crowdsourcing Regression: A Spectral ApproachPoster2 citations
438. Fast Fourier Transform Reductions for Bayesian Network InferencePoster2 citations
439. Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex MinimizationPoster2 citations
440. Hypergraph Simultaneous GeneratorsPoster2 citations
441. Identification in Tree-shaped Linear Structural Causal ModelsPoster2 citations
442. On Some Fast And Robust Classifiers For High Dimension, Low Sample Size DataPoster2 citations
443. On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order AlgorithmsPoster2 citations
444. On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum OptimizationPoster2 citations
445. Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision ConstraintPoster2 citations
446. Parameter-Free Online Linear Optimization with Side Information via Universal Coin BettingPoster2 citations
447. Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approachPoster2 citations
448. Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample SizePoster2 citations
449. Robust Deep Learning from Crowds with Belief PropagationPoster2 citations
450. System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive PolicyPoster2 citations
451. Testing Granger Non-Causality in Panels with Cross-Sectional DependenciesPoster2 citations
452. Variational Autoencoders: A Harmonic PerspectivePoster2 citations
453. Variational Continual Proxy-Anchor for Deep Metric LearningPoster2 citations
454. k-experts - Online Policies and Fundamental LimitsPoster2 citations
455. Can Functional Transfer Methods Capture Simple Inductive Biases?Poster1 citations
456. Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning SolutionPoster1 citations
457. ContextGen: Targeted Data Generation for Low Resource Domain Specific Text ClassificationPoster1 citations
458. Distributed Sparse Multicategory Discriminant AnalysisPoster1 citations
459. Distributionally Robust Structure Learning for Discrete Pairwise Markov NetworksPoster1 citations
460. Doubly Mixed-Effects Gaussian Process RegressionPoster1 citations
461. Dual-Level Adaptive Information Filtering for Interactive Image SegmentationPoster1 citations
462. Embedded Ensembles: infinite width limit and operating regimesPoster1 citations
463. Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD LearningPoster1 citations
464. Feature screening with kernel knockoffsPoster1 citations
465. Flexible Accuracy for Differential PrivacyPoster1 citations
466. GraphAdaMix: Enhancing Node Representations with Graph Adaptive MixturesPoster1 citations
467. How to scale hyperparameters for quickshift image segmentationPoster1 citations
468. Improved analysis of randomized SVD for top-eigenvector approximationPoster1 citations
469. Learning and Generalization in Overparameterized Normalizing FlowsPoster1 citations
470. Mode estimation on matrix manifolds: Convergence and robustnessPoster1 citations
471. Orthogonal Multi-Manifold Enriching of Directed NetworksPoster1 citations
472. Quadric Hypersurface Intersection for Manifold Learning in Feature SpacePoster1 citations
473. The Tree Loss: Improving Generalization with Many ClassesPoster1 citations
474. Two-way Sparse Network Inference for Count DataPoster1 citations
475. k-Pareto Optimality-Based Sorting with Maximization of ChoicePoster1 citations
476. A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman DivergencePoster
477. A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares HierarchyPoster
478. Beyond Data Samples: Aligning Differential Networks Estimation with Scientific KnowledgePoster
479. Conditional Linear Regression for Heterogeneous CovariancesPoster
480. ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable MetricsPoster
481. Exploring Image Regions Not Well Encoded by an INNPoster
482. Learning Pareto-Efficient Decisions with ConfidencePoster
483. Marginalized Operators for Off-policy Reinforcement LearningPoster
484. Noise Regularizes Over-parameterized Rank One Matrix Recovery, ProvablyPoster
485. On a Connection Between Fast and Sparse Oblivious Subspace EmbeddingsPoster
486. Online Control of the False Discovery Rate under "Decision Deadlines"Poster
487. Optimal channel selection with discrete QCQPPoster
488. Reconstructing Test Labels from Noisy Loss FunctionsPoster
489. Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric NoisePoster
490. Semi-Implicit Hybrid Gradient Methods with Application to Adversarial RobustnessPoster
491. The role of optimization geometry in single neuron learningPoster
492. Warping Layer: Representation Learning for Label Structures in Weakly Supervised LearningPoster

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