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ICML 2021 Accepted Papers

The full list of 1,181 papers accepted at ICML 2021 (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.

Spotlight: 1,014Oral: 166
  1. Interaction-Grounded LearningSpotlight11 citations
  2. Learning from Biased Data: A Semi-Parametric ApproachSpotlight11 citations
  3. Near-Optimal Confidence Sequences for Bounded Random VariablesSpotlight11 citations
  4. Pure Exploration and Regret Minimization in Matching BanditsSpotlight11 citations
  5. Quantifying Availability and Discovery in Recommender Systems via Stochastic ReachabilitySpotlight11 citations
  6. Randomized Dimensionality Reduction for Facility Location and Single-Linkage ClusteringSpotlight11 citations
  7. Reinforcement Learning for Cost-Aware Markov Decision ProcessesSpotlight11 citations
  8. Reserve Price Optimization for First Price Auctions in Display AdvertisingOral11 citations
  9. Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond LinearitySpotlight11 citations
  10. Statistical Estimation from Dependent DataSpotlight11 citations
  11. Streaming and Distributed Algorithms for Robust Column Subset SelectionSpotlight11 citations
  12. Targeted Data Acquisition for Evolving Negotiation AgentsSpotlight11 citations
  13. Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable ModelsSpotlight11 citations
  14. A Lower Bound for the Sample Complexity of Inverse Reinforcement LearningSpotlight10 citations
  15. A Novel Method to Solve Neural Knapsack ProblemsSpotlight10 citations
  16. A Tale of Two Efficient and Informative Negative Sampling DistributionsOral10 citations
  17. ChaCha for Online AutoMLSpotlight10 citations
  18. Efficient Statistical Tests: A Neural Tangent Kernel ApproachSpotlight10 citations
  19. Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte CarloSpotlight10 citations
  20. Improved Regret Bounds of Bilinear Bandits using Action Space AnalysisSpotlight10 citations
  21. Learning Deep Neural Networks under Agnostic Corrupted SupervisionSpotlight10 citations
  22. Local Algorithms for Finding Densely Connected ClustersOral10 citations
  23. Nonparametric Decomposition of Sparse TensorsSpotlight10 citations
  24. On Energy-Based Models with Overparametrized Shallow Neural NetworksOral10 citations
  25. On Robust Mean Estimation under Coordinate-level CorruptionSpotlight10 citations
  26. Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré RecurrenceSpotlight10 citations
  27. Optimization Planning for 3D ConvNetsSpotlight10 citations
  28. Optimizing Black-box Metrics with Iterative Example WeightingSpotlight10 citations
  29. Problem Dependent View on Structured Thresholding Bandit ProblemsSpotlight10 citations
  30. Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive ParallelismOral10 citations
  31. SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy SamplesSpotlight10 citations
  32. Segmenting Hybrid Trajectories using Latent ODEsSpotlight10 citations
  33. Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational AutoencodersOral10 citations
  34. The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy OptimizationSpotlight10 citations
  35. A Precise Performance Analysis of Support Vector RegressionOral9 citations
  36. Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural NetworksSpotlight9 citations
  37. Discrete-Valued Latent Preference Matrix Estimation with Graph Side InformationSpotlight9 citations
  38. Imitation by Predicting ObservationsSpotlight9 citations
  39. In-Database Regression in Input Sparsity TimeSpotlight9 citations
  40. Isometric Gaussian Process Latent Variable Model for Dissimilarity DataSpotlight9 citations
  41. Learning Randomly Perturbed Structured Predictors for Direct Loss MinimizationSpotlight9 citations
  42. Matrix Completion with Model-free WeightingSpotlight9 citations
  43. Online Learning for Load Balancing of Unknown Monotone Resource Allocation GamesSpotlight9 citations
  44. Revenue-Incentive Tradeoffs in Dynamic Reserve PricingSpotlight9 citations
  45. Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative ModelsSpotlight9 citations
  46. SG-PALM: a Fast Physically Interpretable Tensor Graphical ModelSpotlight9 citations
  47. Scalable Variational Gaussian Processes via Harmonic Kernel DecompositionSpotlight9 citations
  48. Taylor Expansion of Discount FactorsSpotlight9 citations
  49. Uniform Convergence, Adversarial Spheres and a Simple RemedySpotlight9 citations
  50. What’s in the Box? Exploring the Inner Life of Neural Networks with Robust RulesSpotlight9 citations
  51. ACE: Explaining cluster from an adversarial perspectiveSpotlight8 citations
  52. AutoSampling: Search for Effective Data Sampling SchedulesSpotlight8 citations
  53. ConvexVST: A Convex Optimization Approach to Variance-stabilizing TransformationSpotlight8 citations
  54. Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic ApproachSpotlight8 citations
  55. Finding Relevant Information via a Discrete Fourier ExpansionSpotlight8 citations
  56. Infinite-Dimensional Optimization for Zero-Sum Games via Variational TransportSpotlight8 citations
  57. Lenient Regret and Good-Action Identification in Gaussian Process BanditsSpotlight8 citations
  58. Marginalized Stochastic Natural Gradients for Black-Box Variational InferenceSpotlight8 citations
  59. Operationalizing Complex Causes: A Pragmatic View of MediationSpotlight8 citations
  60. PAPRIKA: Private Online False Discovery Rate ControlSpotlight8 citations
  61. STRODE: Stochastic Boundary Ordinary Differential EquationSpotlight8 citations
  62. Sample-Optimal PAC Learning of Halfspaces with Malicious NoiseSpotlight8 citations
  63. Shortest-Path Constrained Reinforcement Learning for Sparse Reward TasksSpotlight8 citations
  64. The Hintons in your Neural Network: a Quantum Field Theory View of Deep LearningSpotlight8 citations
  65. Uncertainty Principles of Encoding GANsSpotlight8 citations
  66. A Differentiable Point Process with Its Application to Spiking Neural NetworksSpotlight7 citations
  67. A Scalable Deterministic Global Optimization Algorithm for Clustering ProblemsSpotlight7 citations
  68. A Wasserstein Minimax Framework for Mixed Linear RegressionOral7 citations
  69. Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares EstimatorSpotlight7 citations
  70. BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational AutoencodersSpotlight7 citations
  71. Best Arm Identification in Graphical Bilinear BanditsSpotlight7 citations
  72. Conjugate Energy-Based ModelsSpotlight7 citations
  73. EL-Attention: Memory Efficient Lossless Attention for GenerationSpotlight7 citations
  74. Explore Visual Concept Formation for Image ClassificationSpotlight7 citations
  75. Feature Clustering for Support Identification in Extreme RegionsSpotlight7 citations
  76. Fixed-Parameter and Approximation Algorithms for PCA with OutliersSpotlight7 citations
  77. Functional Space Analysis of Local GAN ConvergenceSpotlight7 citations
  78. Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data GenerationSpotlight7 citations
  79. Large-Scale Multi-Agent Deep FBSDEsSpotlight7 citations
  80. Learning to Price Against a Moving TargetSpotlight7 citations
  81. Nonmyopic Multifidelity Acitve SearchSpotlight7 citations
  82. On Estimation in Latent Variable ModelsSpotlight7 citations
  83. Optimal regret algorithm for Pseudo-1d Bandit Convex OptimizationSpotlight7 citations
  84. Preferential Temporal Difference LearningSpotlight7 citations
  85. Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured AnomaliesSpotlight7 citations
  86. Temporally Correlated Task Scheduling for Sequence LearningSpotlight7 citations
  87. Trees with Attention for Set Prediction TasksSpotlight7 citations
  88. Understanding Invariance via Feedforward Inversion of Discriminatively Trained ClassifiersSpotlight7 citations
  89. A Receptor Skeleton for Capsule Neural NetworksSpotlight6 citations
  90. Active Slices for Sliced Stein DiscrepancySpotlight6 citations
  91. Additive Error Guarantees for Weighted Low Rank ApproximationOral6 citations
  92. Dynamic Game Theoretic Neural OptimizerOral6 citations
  93. Efficient Online Learning for Dynamic k-ClusteringSpotlight6 citations
  94. Exponential Reduction in Sample Complexity with Learning of Ising Model DynamicsOral6 citations
  95. HyperHyperNetwork for the Design of Antenna ArraysSpotlight6 citations
  96. Incentivized Bandit Learning with Self-Reinforcing User PreferencesSpotlight6 citations
  97. Incentivizing Compliance with Algorithmic InstrumentsSpotlight6 citations
  98. Lower Bounds on Cross-Entropy Loss in the Presence of Test-time AdversariesSpotlight6 citations
  99. Moreau-Yosida $f$-divergencesSpotlight6 citations
  100. Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential NoiseSpotlight6 citations
  101. Neural Feature Matching in Implicit 3D RepresentationsSpotlight6 citations
  102. Partially Observed Exchangeable ModelingSpotlight6 citations
  103. Probabilistic Programs with Stochastic ConditioningSpotlight6 citations
  104. Query Complexity of Adversarial AttacksSpotlight6 citations
  105. Spectral vertex sparsifiers and pair-wise spanners over distributed graphsSpotlight6 citations
  106. Unsupervised Representation Learning via Neural Activation CodingOral6 citations
  107. Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled DataSpotlight6 citations
  108. A Distribution-dependent Analysis of Meta LearningSpotlight5 citations
  109. Asymptotics of Ridge Regression in Convolutional ModelsSpotlight5 citations
  110. Black-box density function estimation using recursive partitioningSpotlight5 citations
  111. Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learnersSpotlight5 citations
  112. Cumulants of Hawkes Processes are Robust to Observation NoiseSpotlight5 citations
  113. Grid-Functioned Neural NetworksSpotlight5 citations
  114. Learner-Private Convex OptimizationSpotlight5 citations
  115. Meta Learning for Support Recovery in High-dimensional Precision Matrix EstimationSpotlight5 citations
  116. Multiscale Invertible Generative Networks for High-Dimensional Bayesian InferenceSpotlight5 citations
  117. On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian ProcessesSpotlight5 citations
  118. One-sided Frank-Wolfe algorithms for saddle problemsSpotlight5 citations
  119. Parametric Graph for Unimodal Ranking BanditSpotlight5 citations
  120. Principal Component Hierarchy for Sparse Quadratic ProgramsSpotlight5 citations
  121. The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued RegressionSpotlight5 citations
  122. XOR-CD: Linearly Convergent Constrained Structure GenerationSpotlight5 citations
  123. A Nullspace Property for Subspace-Preserving RecoverySpotlight4 citations
  124. Bayesian Quadrature on Riemannian Data ManifoldsSpotlight4 citations
  125. Coded-InvNet for Resilient Prediction Serving SystemsOral4 citations
  126. Debiasing a First-order Heuristic for Approximate Bi-level OptimizationSpotlight4 citations
  127. Dichotomous Optimistic Search to Quantify Human PerceptionSpotlight4 citations
  128. Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov ModelSpotlight4 citations
  129. FILTRA: Rethinking Steerable CNN by Filter TransformSpotlight4 citations
  130. High Confidence Generalization for Reinforcement LearningSpotlight4 citations
  131. Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction NetworksSpotlight4 citations
  132. Light RUMsSpotlight4 citations
  133. On Variational Inference in Biclustering ModelsSpotlight4 citations
  134. Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief NetworksSpotlight4 citations
  135. PopSkipJump: Decision-Based Attack for Probabilistic ClassifiersSpotlight4 citations
  136. Recovering AES Keys with a Deep Cold Boot AttackSpotlight4 citations
  137. Robust Inference for High-Dimensional Linear Models via Residual RandomizationSpotlight4 citations
  138. Single Pass Entrywise-Transformed Low Rank ApproximationSpotlight4 citations
  139. State Relevance for Off-Policy EvaluationSpotlight4 citations
  140. A Unified Generative Adversarial Network Training via Self-Labeling and Self-AttentionSpotlight3 citations
  141. Active CoveringSpotlight3 citations
  142. An exact solver for the Weston-Watkins SVM subproblemSpotlight3 citations
  143. Approximation Theory Based Methods for RKHS BanditsSpotlight3 citations
  144. Connecting Sphere Manifolds Hierarchically for RegularizationSpotlight3 citations
  145. Consistent Nonparametric Methods for Network Assisted Covariate EstimationSpotlight3 citations
  146. Inferring serial correlation with dynamic backgroundsOral3 citations
  147. Learning Optimal Auctions with Correlated Valuations from SamplesOral3 citations
  148. Learning from Nested Data with Ornstein Auto-EncodersSpotlight3 citations
  149. Lower-Bounded Proper Losses for Weakly Supervised ClassificationSpotlight3 citations
  150. Objective Bound Conditional Gaussian Process for Bayesian OptimizationSpotlight3 citations
  151. Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility SystemsSpotlight3 citations
  152. Principal Bit Analysis: Autoencoding with Schur-Concave LossSpotlight3 citations
  153. SagaNet: A Small Sample Gated Network for Pediatric Cancer DiagnosisSpotlight3 citations
  154. WGAN with an Infinitely Wide Generator Has No Spurious Stationary PointsSpotlight3 citations
  155. Active Learning of Continuous-time Bayesian Networks through InterventionsSpotlight2 citations
  156. Crystallization Learning with the Delaunay TriangulationSpotlight2 citations
  157. Factor-analytic inverse regression for high-dimension, small-sample dimensionality reductionSpotlight2 citations
  158. Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)Oral2 citations
  159. Householder Sketch for Accurate and Accelerated Least-Mean-Squares SolversSpotlight2 citations
  160. Learning Routines for Effective Off-Policy Reinforcement LearningSpotlight2 citations
  161. Narrow Margins: Classification, Margins and Fat TailsSpotlight2 citations
  162. On Recovering from Modeling Errors Using Testing Bayesian NetworksSpotlight2 citations
  163. Theory of Spectral Method for Union of Subspaces-Based Random Geometry GraphSpotlight2 citations
  164. Approximating a Distribution Using Weight QueriesSpotlight1 citations
  165. Context-Aware Online Collective Inference for Templated Graphical ModelsSpotlight1 citations
  166. Finding k in Latent $k-$ polytopeSpotlight1 citations
  167. Generative Particle Variational Inference via Estimation of Functional GradientsSpotlight1 citations
  168. Joining datasets via data augmentation in the label space for neural networksSpotlight1 citations
  169. Mediated Uncoupled Learning: Learning Functions without Direct Input-output CorrespondencesSpotlight1 citations
  170. Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy ObservationsSpotlight1 citations
  171. Unitary Branching Programs: Learnability and Lower BoundsSpotlight1 citations
  172. Autoencoder Image Interpolation by Shaping the Latent SpaceSpotlight
  173. Bayesian Optimistic Optimisation with Exponentially Decaying RegretSpotlight
  174. Compressed Maximum LikelihoodSpotlight
  175. Demonstration-Conditioned Reinforcement Learning for Few-Shot ImitationSpotlight
  176. Exploiting structured data for learning contagious diseases under incomplete testingSpotlight
  177. Improving Predictors via Combination Across Diverse Task CategoriesSpotlight
  178. Inference for Network Regression Models with Community StructureSpotlight
  179. On-the-fly Rectification for Robust Large-Vocabulary Topic InferenceSpotlight
  180. Putting the “Learning" into Learning-Augmented Algorithms for Frequency EstimationSpotlight
  181. Unified Robust Semi-Supervised Variational AutoencoderSpotlight

ICML accepted papers in other years

ICML 2026 (6,634)ICML 2025 (3,333)ICML 2024 (2,610)ICML 2023 (1,828)ICML 2022 (1,228)ICML 2020 (1,082)ICML 2019 (773)ICML 2018 (620)ICML 2017 (433)ICML 2016 (322)ICML 2015 (270)

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ICML 2021 Accepted Papers · Full List of 1,181 Papers