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ICML 2020 Accepted Papers

The full list of 1,082 papers accepted at ICML 2020 (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: 1,079
  1. Optimization and Analysis of the pAp@k Metric for Recommender SystemsPoster9 citations
  2. Representation Learning via Adversarially-Contrastive Optimal TransportPoster9 citations
  3. Stochastic Differential Equations with Variational Wishart DiffusionsPoster9 citations
  4. Stochastic Flows and Geometric Optimization on the Orthogonal GroupPoster9 citations
  5. Student Specialization in Deep Rectified Networks With Finite Width and Input DimensionPoster9 citations
  6. Adaptive Sampling for Estimating Probability DistributionsPoster8 citations
  7. ConQUR: Mitigating Delusional Bias in Deep Q-LearningPoster8 citations
  8. Flexible and Efficient Long-Range Planning Through Curious ExplorationPoster8 citations
  9. Harmonic Decompositions of Convolutional NetworksPoster8 citations
  10. Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal GeneralizationPoster8 citations
  11. IPBoost – Non-Convex Boosting via Integer ProgrammingPoster8 citations
  12. Layered Sampling for Robust Optimization ProblemsPoster8 citations
  13. On Learning Language-Invariant Representations for Universal Machine TranslationPoster8 citations
  14. On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point ProcessesPoster8 citations
  15. One-shot Distributed Ridge Regression in High DimensionsPoster8 citations
  16. Partial Trace Regression and Low-Rank Kraus DecompositionPoster8 citations
  17. Scalable Gaussian Process Separation for Kernels with a Non-Stationary PhasePoster8 citations
  18. Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable GuaranteesPoster8 citations
  19. Task Understanding from Confusing Multi-task DataPoster8 citations
  20. The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered SmoothersPoster8 citations
  21. Variable Skipping for Autoregressive Range Density EstimationPoster8 citations
  22. Abstraction Mechanisms Predict Generalization in Deep Neural NetworksPoster7 citations
  23. Amortized Population Gibbs Samplers with Neural Sufficient StatisticsPoster7 citations
  24. Conditional gradient methods for stochastically constrained convex minimizationPoster7 citations
  25. Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive CorrelationsPoster7 citations
  26. Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationPoster7 citations
  27. Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex ProgrammingPoster7 citations
  28. Parameterized Rate-Distortion Stochastic EncoderPoster7 citations
  29. Real-Time Optimisation for Online Learning in AuctionsPoster7 citations
  30. Scalable and Efficient Comparison-based Search without FeaturesPoster7 citations
  31. The Buckley-Osthus model and the block preferential attachment model: statistical analysis and applicationPoster7 citations
  32. Transparency Promotion with Model-Agnostic Linear CompetitorsPoster7 citations
  33. Upper bounds for Model-Free Row-Sparse Principal Component AnalysisPoster7 citations
  34. (Locally) Differentially Private Combinatorial Semi-BanditsPoster6 citations
  35. Bandits for BMO FunctionsPoster6 citations
  36. Continuous Time Bayesian Networks with ClocksPoster6 citations
  37. Defense Through Diverse DirectionsPoster6 citations
  38. Global Concavity and Optimization in a Class of Dynamic Discrete Choice ModelsPoster6 citations
  39. Hierarchical Verification for Adversarial RobustnessPoster6 citations
  40. On Breaking Deep Generative Model-based Defenses and BeyondPoster6 citations
  41. On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text GenerationPoster6 citations
  42. Online Learning for Active Cache SynchronizationPoster6 citations
  43. Option Discovery in the Absence of Rewards with Manifold AnalysisPoster6 citations
  44. Stochastic Optimization for Non-convex Inf-Projection ProblemsPoster6 citations
  45. Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random ReshufflePoster6 citations
  46. k-means++: few more steps yield constant approximationPoster6 citations
  47. Double-Loop Unadjusted Langevin AlgorithmPoster5 citations
  48. Manifold Identification for Ultimately Communication-Efficient Distributed OptimizationPoster5 citations
  49. Obtaining Adjustable Regularization for Free via Iterate AveragingPoster5 citations
  50. Robust Outlier Arm IdentificationPoster5 citations
  51. Simple and sharp analysis of k-means||Poster5 citations
  52. Variational Inference for Sequential Data with Future Likelihood EstimatesPoster5 citations
  53. Efficient Proximal Mapping of the 1-path-norm of Shallow NetworksPoster4 citations
  54. Extra-gradient with player sampling for faster convergence in n-player gamesPoster4 citations
  55. Low-loss connection of weight vectors: distribution-based approachesPoster4 citations
  56. On Validation and Planning of An Optimal Decision Rule with Application in Healthcare StudiesPoster4 citations
  57. Amortised Learning by Wake-SleepPoster3 citations
  58. Black-Box Methods for Restoring MonotonicityPoster3 citations
  59. Convex Representation Learning for Generalized Invariance in Semi-Inner-Product SpacePoster3 citations
  60. Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative ChaosPoster3 citations
  61. Maximum-and-Concatenation NetworksPoster3 citations
  62. Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-MixturesPoster3 citations
  63. Nested Subspace Arrangement for Representation of Relational DataPoster3 citations
  64. Optimal Sequential Maximization: One Interview is Enough!Poster3 citations
  65. Optimizing Dynamic Structures with Bayesian Generative SearchPoster3 citations
  66. Single Point Transductive PredictionPoster3 citations
  67. Topic Modeling via Full Dependence MixturesPoster3 citations
  68. Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising ModelPoster2 citations
  69. Growing Adaptive Multi-hyperplane MachinesPoster2 citations
  70. Median Matrix Completion: from Embarrassment to OptimalityPoster2 citations
  71. More Information Supervised Probabilistic Deep Face Embedding LearningPoster2 citations
  72. Mutual Transfer Learning for Massive DataPoster2 citations
  73. Representing Unordered Data Using Complex-Weighted Multiset AutomataPoster2 citations
  74. Strategyproof Mean Estimation from Multiple-Choice QuestionsPoster2 citations
  75. Approximation Guarantees of Local Search Algorithms via Localizability of Set FunctionsPoster1 citations
  76. Randomized Block-Diagonal Preconditioning for Parallel LearningPoster1 citations
  77. Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex OptimizationPoster1 citations
  78. VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video ProcessingPoster1 citations
  79. Accelerated Message Passing for Entropy-Regularized MAP InferencePoster
  80. Being Bayesian about Categorical ProbabilityPoster
  81. Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"Poster
  82. Predicting deliberative outcomesPoster

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 2021 (1,181)ICML 2019 (773)ICML 2018 (620)ICML 2017 (433)ICML 2016 (322)ICML 2015 (270)

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