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ICML 2023 Accepted Papers

The full list of 1,828 papers accepted at ICML 2023 (International Conference on Machine Learning). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

Poster: 1,673Oral: 155
  1. Constrained Phi-EquilibriaPoster11 citations
  2. Continuous Spatiotemporal TransformerPoster11 citations
  3. ContraBAR: Contrastive Bayes-Adaptive Deep RLPoster11 citations
  4. CrossSplit: Mitigating Label Noise Memorization through Data SplittingPoster11 citations
  5. DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed LearningPoster11 citations
  6. DRCFS: Doubly Robust Causal Feature SelectionPoster11 citations
  7. Do Not Train It: A Linear Neural Architecture Search of Graph Neural NetworksPoster11 citations
  8. Enabling First-Order Gradient-Based Learning for Equilibrium Computation in MarketsPoster11 citations
  9. Eventual Discounting Temporal Logic Counterfactual Experience ReplayPoster11 citations
  10. Fast Private Kernel Density Estimation via Locality Sensitive QuantizationOral11 citations
  11. Free-Form Variational Inference for Gaussian Process State-Space ModelsPoster11 citations
  12. General Sequential Episodic Memory ModelPoster11 citations
  13. Generalization Analysis for Contrastive Representation LearningPoster11 citations
  14. Global optimality for Euclidean CCCP under Riemannian convexityPoster11 citations
  15. Graph Reinforcement Learning for Network Control via Bi-Level OptimizationPoster11 citations
  16. Improving Graph Generation by Restricting Graph BandwidthPoster11 citations
  17. Learning Globally Smooth Functions on ManifoldsPoster11 citations
  18. Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer GraphsPoster11 citations
  19. Memory-Based Meta-Learning on Non-Stationary DistributionsPoster11 citations
  20. Mirror Sinkhorn: Fast Online Optimization on Transport PolytopesPoster11 citations
  21. Model Transferability with Responsive Decision SubjectsPoster11 citations
  22. NTK-approximating MLP Fusion for Efficient Language Model Fine-tuningPoster11 citations
  23. NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal DecompositionPoster11 citations
  24. Off-Policy Average Reward Actor-Critic with Deterministic Policy SearchPoster11 citations
  25. Offline Learning in Markov Games with General Function ApproximationPoster11 citations
  26. On the Convergence of Gradient Flow on Multi-layer Linear ModelsPoster11 citations
  27. On the Impact of Knowledge Distillation for Model InterpretabilityPoster11 citations
  28. On the Initialization of Graph Neural NetworksPoster11 citations
  29. On the Power of Pre-training for Generalization in RL: Provable Benefits and HardnessOral11 citations
  30. PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsPoster11 citations
  31. Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel SimulationPoster11 citations
  32. Performative Recommendation: Diversifying Content via Strategic IncentivesPoster11 citations
  33. Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual QualityPoster11 citations
  34. Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?Poster11 citations
  35. Ske2Grid: Skeleton-to-Grid Representation Learning for Action RecognitionPoster11 citations
  36. Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not NecessaryPoster11 citations
  37. SpotEM: Efficient Video Search for Episodic MemoryPoster11 citations
  38. Taming graph kernels with random featuresOral11 citations
  39. Test-time Adaptation with Slot-Centric ModelsPoster11 citations
  40. The Statistical Benefits of Quantile Temporal-Difference Learning for Value EstimationPoster11 citations
  41. Tighter Analysis for ProxSkipPoster11 citations
  42. Uncovering Adversarial Risks of Test-Time AdaptationPoster11 citations
  43. Understanding the Impact of Adversarial Robustness on Accuracy DisparityPoster11 citations
  44. Why Target Networks Stabilise Temporal Difference MethodsPoster11 citations
  45. A New PHO-rmula for Improved Performance of Semi-Structured NetworksPoster10 citations
  46. Active Policy Improvement from Multiple Black-box OraclesPoster10 citations
  47. Adaptive Whitening in Neural Populations with Gain-modulating InterneuronsPoster10 citations
  48. Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling AlgorithmPoster10 citations
  49. Algorithms for bounding contribution for histogram estimation under user-level privacyPoster10 citations
  50. Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer EvaluationsPoster10 citations
  51. An Information-Theoretic Analysis of Nonstationary Bandit LearningPoster10 citations
  52. Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.Oral10 citations
  53. Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement LearningPoster10 citations
  54. Beyond In-Domain Scenarios: Robust Density-Aware CalibrationPoster10 citations
  55. Complementary Attention for Multi-Agent Reinforcement LearningPoster10 citations
  56. Context Consistency Regularization for Label Sparsity in Time SeriesPoster10 citations
  57. Coupled Variational AutoencoderPoster10 citations
  58. Differentiable Simulations for Enhanced Sampling of Rare EventsPoster10 citations
  59. Disentangled Generative Models for Robust Prediction of System DynamicsPoster10 citations
  60. Double-Weighting for Covariate Shift AdaptationPoster10 citations
  61. Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationPoster10 citations
  62. FARE: Provably Fair Representation Learning with Practical CertificatesPoster10 citations
  63. Fairness in Matching under UncertaintyPoster10 citations
  64. From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated LearningPoster10 citations
  65. From Perception to Programs: Regularize, Overparameterize, and AmortizePoster10 citations
  66. HarsanyiNet: Computing Accurate Shapley Values in a Single Forward PropagationPoster10 citations
  67. How Powerful are Shallow Neural Networks with Bandlimited Random Weights?Poster10 citations
  68. How much does Initialization Affect Generalization?Poster10 citations
  69. Improving Adversarial Robustness by Putting More Regularizations on Less Robust SamplesPoster10 citations
  70. Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and AdaptivityPoster10 citations
  71. Learning Mixtures of Markov Chains and MDPsOral10 citations
  72. Metagenomic Binning using Connectivity-constrained Variational AutoencodersPoster10 citations
  73. Model-based Reinforcement Learning with Scalable Composite Policy Gradient EstimatorsPoster10 citations
  74. Multi-Task Off-Policy Learning from Bandit FeedbackPoster10 citations
  75. MultiRobustBench: Benchmarking Robustness Against Multiple AttacksPoster10 citations
  76. Multiple Thinking Achieving Meta-Ability Decoupling for Object NavigationPoster10 citations
  77. Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCAPoster10 citations
  78. Nonparametric Extensions of Randomized Response for Private Confidence SetsOral10 citations
  79. Optimizing Hyperparameters with Conformal Quantile RegressionPoster10 citations
  80. Pareto Regret Analyses in Multi-objective Multi-armed BanditPoster10 citations
  81. Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information SharingPoster10 citations
  82. Posterior Sampling for Deep Reinforcement LearningPoster10 citations
  83. Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning SystemsPoster10 citations
  84. Provable Benefit of Mixup for Finding Optimal Decision BoundariesPoster10 citations
  85. R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User IntentsPoster10 citations
  86. Reinforcement Learning with History Dependent Dynamic ContextsPoster10 citations
  87. Revisiting Bellman Errors for Offline Model SelectionPoster10 citations
  88. Revisiting Data-Free Knowledge Distillation with Poisoned TeachersPoster10 citations
  89. Robust Non-Linear Feedback Coding via Power-Constrained Deep LearningPoster10 citations
  90. Robust and private stochastic linear banditsPoster10 citations
  91. SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesPoster10 citations
  92. Sampling-based Nyström Approximation and Kernel QuadraturePoster10 citations
  93. Scalable Safe Policy Improvement via Monte Carlo Tree SearchPoster10 citations
  94. Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionPoster10 citations
  95. Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesPoster10 citations
  96. Special Properties of Gradient Descent with Large Learning RatesPoster10 citations
  97. State and parameter learning with PARIS particle GibbsPoster10 citations
  98. TIDE: Time Derivative Diffusion for Deep Learning on GraphsPoster10 citations
  99. Test-Time Style Shifting: Handling Arbitrary Styles in Domain GeneralizationPoster10 citations
  100. Towards Understanding Generalization of Macro-AUC in Multi-label LearningPoster10 citations
  101. Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?Poster10 citations
  102. A Category-theoretical Meta-analysis of Definitions of DisentanglementPoster9 citations
  103. A Conditional Normalizing Flow for Accelerated Multi-Coil MR ImagingPoster9 citations
  104. A Deep Conjugate Direction Method for Iteratively Solving Linear SystemsPoster9 citations
  105. A Flexible Diffusion ModelPoster9 citations
  106. A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph CoarseningPoster9 citations
  107. A Three-regime Model of Network PruningPoster9 citations
  108. Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact DynamicsPoster9 citations
  109. An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement LearningPoster9 citations
  110. Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningPoster9 citations
  111. Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data DistributionsOral9 citations
  112. Blossom: an Anytime Algorithm for Computing Optimal Decision TreesPoster9 citations
  113. Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesPoster9 citations
  114. Consistency of Multiple Kernel ClusteringPoster9 citations
  115. Continual Task Allocation in Meta-Policy Network via Sparse PromptingPoster9 citations
  116. Continuation Path Learning for Homotopy OptimizationOral9 citations
  117. Cut your Losses with SquentropyPoster9 citations
  118. Data-Copying in Generative Models: A Formal FrameworkPoster9 citations
  119. Differentiable Tree Operations Promote Compositional GeneralizationPoster9 citations
  120. Distributed Contextual Linear Bandits with Minimax Optimal Communication CostPoster9 citations
  121. Distributed Linear Bandits under Communication ConstraintsPoster9 citations
  122. Dynamic Constrained Submodular Optimization with Polylogarithmic Update TimePoster9 citations
  123. ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric ModelsPoster9 citations
  124. Effective and Efficient Structural Inference with Reservoir ComputingPoster9 citations
  125. End-to-end Differentiable Clustering with Associative MemoriesPoster9 citations
  126. Estimating Causal Effects using a Multi-task Deep EnsemblePoster9 citations
  127. Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For RetrievalPoster9 citations
  128. Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy LearningPoster9 citations
  129. FeDXL: Provable Federated Learning for Deep X-Risk OptimizationPoster9 citations
  130. Graph Switching Dynamical SystemsPoster9 citations
  131. Graphically Structured Diffusion ModelsOral9 citations
  132. High-dimensional Clustering onto Hamiltonian CyclePoster9 citations
  133. How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial AccuracyPoster9 citations
  134. Is Learning Summary Statistics Necessary for Likelihood-free Inference?Poster9 citations
  135. Label differential privacy and private training data releasePoster9 citations
  136. Learning Control-Oriented Dynamical Structure from DataOral9 citations
  137. Leveraging Demonstrations to Improve Online Learning: Quality MattersPoster9 citations
  138. Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural TransducersPoster9 citations
  139. Loss Balancing for Fair Supervised LearningPoster9 citations
  140. Maximal Initial Learning Rates in Deep ReLU NetworksPoster9 citations
  141. MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech EnhancementPoster9 citations
  142. Monotonic Location Attention for Length GeneralizationPoster9 citations
  143. Multi-Fidelity Covariance Estimation in the Log-Euclidean GeometryPoster9 citations
  144. Multi-class Graph Clustering via Approximated Effective $p$-ResistancePoster9 citations
  145. Naive imputation implicitly regularizes high-dimensional linear modelsPoster9 citations
  146. Nesterov Meets Optimism: Rate-Optimal Separable Minimax OptimizationPoster9 citations
  147. Neural Status RegistersPoster9 citations
  148. On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual BanditsPoster9 citations
  149. Optimal Sets and Solution Paths of ReLU NetworksPoster9 citations
  150. Phase Transitions in the Detection of Correlated DatabasesPoster9 citations
  151. Polyhedral Complex Extraction from ReLU Networks using Edge SubdivisionPoster9 citations
  152. Provably and Practically Efficient Neural Contextual BanditsPoster9 citations
  153. Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing FlowsPoster9 citations
  154. Quantum Lower Bounds for Finding Stationary Points of Nonconvex FunctionsPoster9 citations
  155. Reparameterized Policy Learning for Multimodal Trajectory OptimizationOral9 citations
  156. Robust Subtask Learning for Compositional GeneralizationPoster9 citations
  157. Robustly Learning a Single Neuron via SharpnessOral9 citations
  158. Rotation and Translation Invariant Representation Learning with Implicit Neural RepresentationsPoster9 citations
  159. Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep LearningPoster9 citations
  160. Sketch-Flip-Merge: Mergeable Sketches for Private Distinct CountingOral9 citations
  161. Sketched Ridgeless Linear Regression: The Role of DownsamplingPoster9 citations
  162. SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network InferencePoster9 citations
  163. Statistical Inference and A/B Testing for First-Price Pacing EquilibriaPoster9 citations
  164. Stochastic Gradient Succeeds for BanditsPoster9 citations
  165. Subequivariant Graph Reinforcement Learning in 3D EnvironmentsOral9 citations
  166. Subset-Based Instance Optimality in Private EstimationPoster9 citations
  167. Supervised Metric Learning to Rank for Retrieval via Contextual Similarity OptimizationPoster9 citations
  168. Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated LearningPoster9 citations
  169. The Hessian perspective into the Nature of Convolutional Neural NetworksPoster9 citations
  170. Tight Regret Bounds for Single-pass Streaming Multi-armed BanditsPoster9 citations
  171. Topological Point Cloud ClusteringPoster9 citations
  172. Training Deep Surrogate Models with Large Scale Online LearningPoster9 citations
  173. Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein DiscrepancyPoster9 citations
  174. Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsPoster9 citations
  175. Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler MinimizationPoster9 citations
  176. Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical GuaranteesOral9 citations
  177. 2D-Shapley: A Framework for Fragmented Data ValuationPoster8 citations
  178. A/B Testing in Network Data with Covariate-Adaptive RandomizationPoster8 citations
  179. Abstracting Imperfect Information Away from Two-Player Zero-Sum GamesPoster8 citations
  180. Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point IterationsPoster8 citations
  181. Accelerated Stochastic Optimization Methods under Quasar-convexityPoster8 citations
  182. Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium ConstraintsPoster8 citations
  183. Active causal structure learning with advicePoster8 citations
  184. Approximately Optimal Core Shapes for Tensor DecompositionsPoster8 citations
  185. Bootstrapped Representations in Reinforcement LearningPoster8 citations
  186. Causal Modeling of Policy Interventions From Treatment–Outcome SequencesPoster8 citations
  187. Cell-Free Latent Go-ExplorePoster8 citations
  188. Continual Learners are Incremental Model GeneralizersPoster8 citations
  189. Convex Geometry of ReLU-layers, Injectivity on the Ball and Local ReconstructionPoster8 citations
  190. DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus AlgorithmPoster8 citations
  191. Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization ApproachPoster8 citations
  192. Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern DiscoveryPoster8 citations
  193. Directed Chain Generative Adversarial NetworksPoster8 citations
  194. Disentangled Multi-Fidelity Deep Bayesian Active LearningPoster8 citations
  195. Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High DimensionsPoster8 citations
  196. Efficient Quantum Algorithms for Quantum Optimal ControlPoster8 citations
  197. Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class ClassificationPoster8 citations
  198. Eliminating Adversarial Noise via Information Discard and Robust Representation RestorationPoster8 citations
  199. Entity Divider with Language Grounding in Multi-Agent Reinforcement LearningPoster8 citations
  200. Evaluating Self-Supervised Learning via Risk DecompositionOral8 citations
  201. Evaluating Unsupervised Denoising Requires Unsupervised MetricsPoster8 citations
  202. FLEX: an Adaptive Exploration Algorithm for Nonlinear SystemsPoster8 citations
  203. FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural NetworksPoster8 citations
  204. Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient MethodsOral8 citations
  205. GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsPoster8 citations
  206. Global Optimization with Parametric Function ApproximationPoster8 citations
  207. Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationPoster8 citations
  208. How to address monotonicity for model risk management?Poster8 citations
  209. Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic StabilityPoster8 citations
  210. Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural DynamicsPoster8 citations
  211. Investigating the Role of Model-Based Learning in Exploration and TransferPoster8 citations
  212. Iterative Approximate Cross-ValidationPoster8 citations
  213. Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement LearningPoster8 citations
  214. Learning Rate Schedules in the Presence of Distribution ShiftPoster8 citations
  215. Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set EstimationPoster8 citations
  216. Learning Temporally AbstractWorld Models without Online ExperimentationPoster8 citations
  217. Learning for Edge-Weighted Online Bipartite Matching with Robustness GuaranteesPoster8 citations
  218. Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent ModelPoster8 citations
  219. Linear Time GPs for Inferring Latent Trajectories from Neural Spike TrainsPoster8 citations
  220. Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferencePoster8 citations
  221. Meta-learning Parameterized SkillsPoster8 citations
  222. MixFlows: principled variational inference via mixed flowsPoster8 citations
  223. NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform DataPoster8 citations
  224. NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial PerturbationsPoster8 citations
  225. Network Effects in Performative Prediction GamesPoster8 citations
  226. Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural DataPoster8 citations
  227. Non-stationary Reinforcement Learning under General Function ApproximationPoster8 citations
  228. Nonlinear Advantage: Trained Networks Might Not Be As Complex as You ThinkPoster8 citations
  229. Nonparametric Iterative Machine TeachingPoster8 citations
  230. On Coresets for Clustering in Small Dimensional Euclidean spacesPoster8 citations
  231. On the Forward Invariance of Neural ODEsPoster8 citations
  232. On the Occupancy Measure of Non-Markovian Policies in Continuous MDPsPoster8 citations
  233. On the Statistical Benefits of Temporal Difference LearningOral8 citations
  234. One-shot Imitation in a Non-Stationary Environment via Multi-Modal SkillPoster8 citations
  235. Online Mechanism Design for Information AcquisitionPoster8 citations
  236. Online Platt Scaling with CalibeatingPoster8 citations
  237. Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPsPoster8 citations
  238. PAC Prediction Sets for Large Language Models of CodePoster8 citations
  239. PCA-based Multi-Task Learning: a Random Matrix ApproachPoster8 citations
  240. Phase-aware Adversarial Defense for Improving Adversarial RobustnessPoster8 citations
  241. Proper Scoring Rules for Survival AnalysisPoster8 citations
  242. Quantifying the Variability Collapse of Neural NetworksPoster8 citations
  243. Quantum 3D Graph Learning with Applications to Molecule EmbeddingPoster8 citations
  244. Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation AssumptionPoster8 citations
  245. Random Teachers are Good TeachersPoster8 citations
  246. ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalPoster8 citations
  247. Regret-Minimizing Double Oracle for Extensive-Form GamesPoster8 citations
  248. Robust Explanation for Free or At the Cost of FaithfulnessPoster8 citations
  249. Robust Perception through EquivariancePoster8 citations
  250. SLAMB: Accelerated Large Batch Training with Sparse CommunicationPoster8 citations
  251. STEERING : Stein Information Directed Exploration for Model-Based Reinforcement LearningPoster8 citations
  252. Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive EstimationPoster8 citations
  253. Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.Oral8 citations
  254. Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing FlowsPoster8 citations
  255. Sequential Strategic ScreeningPoster8 citations
  256. Simplex Random FeaturesOral8 citations
  257. SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the EdgeOral8 citations
  258. StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy LandscapesPoster8 citations
  259. Target-based Surrogates for Stochastic OptimizationPoster8 citations
  260. Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical SystemsPoster8 citations
  261. The Edge of Orthogonality: A Simple View of What Makes BYOL TickPoster8 citations
  262. Training-Free Neural Active Learning with Initialization-Robustness GuaranteesPoster8 citations
  263. Two Losses Are Better Than One: Faster Optimization Using a Cheaper ProxyPoster8 citations
  264. When Personalization Harms Performance: Reconsidering the Use of Group Attributes in PredictionOral8 citations
  265. Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual RecognitionPoster8 citations
  266. A Study on Transformer Configuration and Training ObjectivePoster7 citations
  267. Adaptive Annealed Importance Sampling with Constant Rate ProgressPoster7 citations
  268. Adaptive Estimation of Graphical Models under Total PositivityPoster7 citations
  269. Applied Online Algorithms with Heterogeneous PredictorsPoster7 citations
  270. Auxiliary Learning as an Asymmetric Bargaining GamePoster7 citations
  271. CAB: Comprehensive Attention Benchmarking on Long Sequence ModelingPoster7 citations
  272. CRISP: Curriculum based Sequential neural decoders for Polar code familyPoster7 citations
  273. Competing for Shareable Arms in Multi-Player Multi-Armed BanditsPoster7 citations
  274. Counterfactual Analysis in Dynamic Latent State ModelsPoster7 citations
  275. Covariate balancing using the integral probability metric for causal inferencePoster7 citations
  276. DADAO: Decoupled Accelerated Decentralized Asynchronous OptimizationPoster7 citations
  277. Data-Driven Subgroup Identification for Linear RegressionPoster7 citations
  278. Delayed Feedback in Kernel BanditsOral7 citations
  279. Differentially Private Hierarchical Clustering with Provable Approximation GuaranteesOral7 citations
  280. Dissecting the Effects of SGD Noise in Distinct Regimes of Deep LearningPoster7 citations
  281. Efficient preconditioned stochastic gradient descent for estimation in latent variable modelsPoster7 citations
  282. Estimation Beyond Data Reweighting: Kernel Method of MomentsPoster7 citations
  283. Expectation-Complete Graph Representations with HomomorphismsPoster7 citations
  284. FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label LearningPoster7 citations
  285. FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric KernelsPoster7 citations
  286. Fairness in Streaming Submodular Maximization over a Matroid ConstraintPoster7 citations
  287. Few-Sample Feature Selection via Feature Manifold LearningPoster7 citations
  288. Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformationPoster7 citations
  289. Finite-Sample Analysis of Learning High-Dimensional Single ReLU NeuronPoster7 citations
  290. Flexible Phase Dynamics for Bio-Plausible Contrastive LearningPoster7 citations
  291. Formalizing Preferences Over Runtime DistributionsPoster7 citations
  292. Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesPoster7 citations
  293. GC-Flow: A Graph-Based Flow Network for Effective ClusteringPoster7 citations
  294. High-dimensional Location Estimation via Norm Concentration for Subgamma VectorsPoster7 citations
  295. Image generation with shortest path diffusionPoster7 citations
  296. Implicit Jacobian regularization weighted with impurity of probability outputPoster7 citations
  297. Improved Online Learning Algorithms for CTR Prediction in Ad AuctionsPoster7 citations
  298. Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?Poster7 citations
  299. JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate ShiftOral7 citations
  300. Kernel QuantTreePoster7 citations
  301. Learning to Design Analog Circuits to Meet Threshold SpecificationsPoster7 citations
  302. Learning to Jump: Thinning and Thickening Latent Counts for Generative ModelingPoster7 citations
  303. LookupFFN: Making Transformers Compute-lite for CPU inferencePoster7 citations
  304. MAGANet: Achieving Combinatorial Generalization by Modeling a Group ActionPoster7 citations
  305. MANSA: Learning Fast and Slow in Multi-Agent SystemsPoster7 citations
  306. Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural NetworksPoster7 citations
  307. Monotonicity and Double Descent in Uncertainty Estimation with Gaussian ProcessesPoster7 citations
  308. Multi-Environment Pretraining Enables Transfer to Action Limited DatasetsPoster7 citations
  309. Multi-task Representation Learning for Pure Exploration in Linear BanditsPoster7 citations
  310. Neural FIM for learning Fisher information metrics from point cloud dataPoster7 citations
  311. Neural Markov Jump ProcessesPoster7 citations
  312. On Regularization and Inference with Label ConstraintsPoster7 citations
  313. On the Impact of Algorithmic Recourse on Social SegregationPoster7 citations
  314. Online Restless Bandits with Unobserved StatesPoster7 citations
  315. Opponent-Limited Online Search for Imperfect Information GamesPoster7 citations
  316. Optimal Arms Identification with KnapsacksPoster7 citations
  317. Optimal randomized multilevel Monte Carlo for repeatedly nested expectationsPoster7 citations
  318. Optimization for Amortized Inverse ProblemsPoster7 citations
  319. Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle PointsOral7 citations
  320. Poisoning Generative Replay in Continual Learning to Promote ForgettingPoster7 citations
  321. Principled Acceleration of Iterative Numerical Methods Using Machine LearningPoster7 citations
  322. Privacy-Aware Compression for Federated Learning Through Numerical Mechanism DesignPoster7 citations
  323. Projected Tensor Power Method for Hypergraph Community RecoveryPoster7 citations
  324. Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDPPoster7 citations
  325. Randomized Schur Complement Views for Graph Contrastive LearningPoster7 citations
  326. Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual CuesPoster7 citations
  327. Reward-Mixing MDPs with Few Latent Contexts are LearnablePoster7 citations
  328. SeMAIL: Eliminating Distractors in Visual Imitation via Separated ModelsPoster7 citations
  329. Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech RepresentationsPoster7 citations
  330. Sequential Counterfactual Risk MinimizationPoster7 citations
  331. Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective FunctionPoster7 citations
  332. Speeding Up Bellman Ford via Minimum Violation PermutationsPoster7 citations
  333. Stabilizing GANs' Training with Brownian Motion ControllerPoster7 citations
  334. Statistical Learning under Heterogenous Distribution ShiftPoster7 citations
  335. Tensor Gaussian Process with Contraction for Multi-Channel Imaging AnalysisPoster7 citations
  336. The Fast Johnson-Lindenstrauss Transform Is Even FasterPoster7 citations
  337. The Power of Uniform Sampling for k-MedianPoster7 citations
  338. The Statistical Scope of MulticalibrationPoster7 citations
  339. Thompson Sampling with Diffusion Generative PriorPoster7 citations
  340. Towards Better Graph Representation Learning with Parameterized Decomposition & FilteringPoster7 citations
  341. Towards Robust and Safe Reinforcement Learning with Benign Off-policy DataPoster7 citations
  342. Towards Understanding Ensemble Distillation in Federated LearningPoster7 citations
  343. Trainability, Expressivity and Interpretability in Gated Neural ODEsPoster7 citations
  344. Trapdoor Normalization with Irreversible Ownership VerificationPoster7 citations
  345. Unit Scaling: Out-of-the-Box Low-Precision TrainingPoster7 citations
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  683. Continuously Parameterized Mixture ModelsPoster2 citations
  684. Controlled Differential Equations on Long Sequences via Non-standard WaveletsPoster2 citations
  685. Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback RectificationPoster2 citations
  686. Delayed Bandits: When Do Intermediate Observations Help?Poster2 citations
  687. Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured ConfoundingPoster2 citations
  688. Does Sparsity Help in Learning Misspecified Linear Bandits?Poster2 citations
  689. Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic ProgrammingPoster2 citations
  690. Expected Gradients of Maxout Networks and Consequences to Parameter InitializationPoster2 citations
  691. Federated Heavy Hitter Recovery under Linear SketchingPoster2 citations
  692. Finding Generalization Measures by Contrasting Signal and NoisePoster2 citations
  693. Gradient Descent Converges Linearly for Logistic Regression on Separable DataPoster2 citations
  694. Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved BoundsPoster2 citations
  695. Implicit Regularization Leads to Benign Overfitting for Sparse Linear RegressionPoster2 citations
  696. Input uncertainty propagation through trained neural networksPoster2 citations
  697. Interpolation for Robust Learning: Data Augmentation on Wasserstein GeodesicsPoster2 citations
  698. Is Overfitting Necessary for Implicit Video Representation?Poster2 citations
  699. Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via AmalgamationPoster2 citations
  700. Learning Control by Iterative InversionPoster2 citations
  701. Learning Representations without Compositional AssumptionsPoster2 citations
  702. Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain TranslatorPoster2 citations
  703. Learning to Optimize Differentiable GamesPoster2 citations
  704. Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous DataPoster2 citations
  705. Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free TrainabilityPoster2 citations
  706. Machine Learning Force Fields with Data Cost Aware TrainingPoster2 citations
  707. Margin-based sampling in high dimensions: When being active is less efficient than staying passivePoster2 citations
  708. Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and RemovalPoster2 citations
  709. Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest PathPoster2 citations
  710. Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite RequestsPoster2 citations
  711. On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU NetworkPoster2 citations
  712. On the Robustness of Text VectorizersPoster2 citations
  713. Optimal Shrinkage for Distributed Second-Order OptimizationPoster2 citations
  714. PAC Generalization via Invariant RepresentationsPoster2 citations
  715. PPG Reloaded: An Empirical Study on What Matters in Phasic Policy GradientPoster2 citations
  716. Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad AuctionsPoster2 citations
  717. Parallel Online Clustering of Bandits via Hedonic GamePoster2 citations
  718. Partial Optimality in Cubic Correlation ClusteringPoster2 citations
  719. Polynomial Preconditioning for Gradient MethodsPoster2 citations
  720. Probably Anytime-Safe Stochastic Combinatorial Semi-BanditsPoster2 citations
  721. Pruning via Sparsity-indexed ODE: a Continuous Sparsity ViewpointPoster2 citations
  722. RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning AgentsPoster2 citations
  723. Recovering Top-Two Answers and Confusion Probability in Multi-Choice CrowdsourcingPoster2 citations
  724. Regression with Sensor Data Containing Incomplete ObservationsPoster2 citations
  725. Reliable Measures of Spread in High Dimensional Latent SpacesPoster2 citations
  726. Representation-Driven Reinforcement LearningPoster2 citations
  727. Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy RegimesPoster2 citations
  728. Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient ApproximationPoster2 citations
  729. Solving Linear Programs with Fast Online Learning AlgorithmsPoster2 citations
  730. Surface Snapping Optimization Layer for Single Image Object Shape ReconstructionPoster2 citations
  731. The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning DynamicsPoster2 citations
  732. Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite ProgrammingPoster2 citations
  733. Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic OptimizationOral2 citations
  734. Understand and Modularize Generator Optimization in ELECTRA-style PretrainingPoster2 citations
  735. Understanding the Role of Feedback in Online Learning with Switching CostsPoster2 citations
  736. Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure OptimalityPoster2 citations
  737. Which Invariance Should We Transfer? A Causal Minimax Learning ApproachPoster2 citations
  738. A Model-free Closeness-of-influence Test for Features in Supervised LearningPoster1 citations
  739. Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept ShiftPoster1 citations
  740. Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex OptimizationPoster1 citations
  741. Biases in Evaluation of Molecular Optimization Methods and Bias Reduction StrategiesPoster1 citations
  742. Buying Information for Stochastic OptimizationOral1 citations
  743. Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient EstimatorPoster1 citations
  744. Computational Asymmetries in Robust ClassificationPoster1 citations
  745. Differentially Private Episodic Reinforcement Learning with Heavy-tailed RewardsPoster1 citations
  746. Differentially Private Stochastic Convex Optimization under a Quantile Loss FunctionPoster1 citations
  747. Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active LearningPoster1 citations
  748. Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded InteractionPoster1 citations
  749. Emergence of Adaptive Circadian Rhythms in Deep Reinforcement LearningPoster1 citations
  750. End-to-End Multi-Object Detection with a Regularized Mixture ModelPoster1 citations
  751. End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode InitializationPoster1 citations
  752. Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast AlgorithmsPoster1 citations
  753. Fair Densities via Boosting the Sufficient Statistics of Exponential FamiliesPoster1 citations
  754. GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning ModelsPoster1 citations
  755. Global optimality of Elman-type RNNs in the mean-field regimePoster1 citations
  756. Go Beyond Imagination: Maximizing Episodic Reachability with World ModelsPoster1 citations
  757. Hiding Data Helps: On the Benefits of Masking for Sparse CodingPoster1 citations
  758. Identification of the Adversary from a Single Adversarial ExamplePoster1 citations
  759. Improved Algorithms for White-Box Adversarial StreamsPoster1 citations
  760. Infinite Action Contextual Bandits with Reusable Data ExhaustPoster1 citations
  761. Learning Intuitive Policies Using Action FeaturesPoster1 citations
  762. Learning Noisy OR Bayesian Networks with Max-Product Belief PropagationPoster1 citations
  763. Learning to Decouple Complex SystemsPoster1 citations
  764. Meta-Learning the Inductive Bias of Simple Neural CircuitsPoster1 citations
  765. Multi-User Reinforcement Learning with Low Rank RewardsPoster1 citations
  766. Near-Optimal Quantum Coreset Construction Algorithms for ClusteringPoster1 citations
  767. NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral MeshesPoster1 citations
  768. Predicting Rare Events by Shrinking Towards Proportional OddsPoster1 citations
  769. Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian ModelsPoster1 citations
  770. Quantifying Human Priors over Social and Navigation NetworksPoster1 citations
  771. Quantitative Universal Approximation Bounds for Deep Belief NetworksPoster1 citations
  772. Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and PracticePoster1 citations
  773. Rethink DARTS Search Space and Renovate a New BenchmarkPoster1 citations
  774. Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational IssuesPoster1 citations
  775. Robust Weak Supervision with Variational Auto-EncodersPoster1 citations
  776. Secure Federated Correlation Test and Entropy EstimationPoster1 citations
  777. Spherical Inducing Features for Orthogonally-Decoupled Gaussian ProcessesOral1 citations
  778. Structure Learning of Latent Factors via Clique Search on Correlation Thresholded GraphsPoster1 citations
  779. Structured Cooperative Learning with Graphical Model PriorsPoster1 citations
  780. TIPS: Topologically Important Path Sampling for Anytime Neural NetworksPoster1 citations
  781. TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional GenerationPoster1 citations
  782. The Catalog Problem: Clustering and Ordering Variable-Sized SetsPoster1 citations
  783. The Computational Complexity of Concise Hypersphere ClassificationPoster1 citations
  784. Tight Data Access Bounds for Private Top-$k$ SelectionOral1 citations
  785. Tight and fast generalization error bound of graph embedding in metric spacePoster1 citations
  786. Towards a Persistence Diagram that is Robust to Noise and Varied DensitiesPoster1 citations
  787. Towards a better understanding of representation dynamics under TD-learningPoster1 citations
  788. A General Representation Learning Framework with Generalization Performance GuaranteesPoster
  789. A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ GuaranteePoster
  790. Approximate Stein Classes for Truncated Density EstimationPoster
  791. CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network DataPoster
  792. Causal Bounds in Quasi-Markovian GraphsPoster
  793. CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif ModelingPoster
  794. Compressing Tabular Data via Latent Variable EstimationPoster
  795. Contextual Conservative Interleaving BanditsPoster
  796. Decoding Layer Saliency in Language TransformersPoster
  797. Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional CurriculumPoster
  798. Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture ModelsPoster
  799. DoMo-AC: Doubly Multi-step Off-policy Actor-Critic AlgorithmPoster
  800. ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State MachinesPoster
  801. Entropy-driven Unsupervised Keypoint Representation Learning in VideosPoster
  802. Expertise Trees Resolve Knowledge Limitations in Collective Decision-MakingPoster
  803. Exploring Model Dynamics for Accumulative Poisoning DiscoveryPoster
  804. Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix FactorizationPoster
  805. Fundamental Tradeoffs in Learning with Prior InformationPoster
  806. Generated Graph DetectionPoster
  807. Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study TechniquesPoster
  808. Kernel Logistic Regression Approximation of an Understandable ReLU Neural NetworkPoster
  809. Layered State Discovery for Incremental Autonomous ExplorationPoster
  810. Learning Hidden Markov Models When the Locations of Missing Observations are UnknownPoster
  811. Learning to Initiate and Reason in Event-Driven Cascading ProcessesPoster
  812. LegendreTron: Uprising Proper Multiclass Loss LearningPoster
  813. Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training ToolkitPoster
  814. Multi-Agent Learning from LearnersPoster
  815. N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-LearningPoster
  816. Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel RegressionPoster
  817. On Many-Actions Policy GradientPoster
  818. One-sided Matrix Completion from Two Observations Per RowPoster
  819. Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic BanditsPoster
  820. Proper Losses for Discrete Generative ModelsPoster
  821. RGE: A Repulsive Graph Rectification for Node Classification via InfluencePoster
  822. Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization FrameworkPoster
  823. Returning The Favour: When Regression Benefits From Probabilistic Causal KnowledgeOral
  824. Revisiting Domain Randomization via Relaxed State-Adversarial Policy OptimizationPoster
  825. Set-membership Belief State-based Reinforcement Learning for POMDPsPoster
  826. SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic GenesPoster
  827. Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic ExpertsPoster
  828. Weighted Sampling without Replacement for Deep Top-$k$ ClassificationPoster

ICML accepted papers in other years

ICML 2026 (6,634)ICML 2025 (3,333)ICML 2024 (2,610)ICML 2022 (1,228)ICML 2021 (1,181)ICML 2020 (1,082)ICML 2019 (773)ICML 2018 (620)ICML 2017 (433)ICML 2016 (322)ICML 2015 (270)

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