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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Learning Theory
5,312 papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
ICML 2022
Parsimonious Learning-Augmented Caching
ICML 2022
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
ICML 2022
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
ICML 2022
Towards understanding how momentum improves generalization in deep learning
ICML 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
ICML 2022
Agnostic Learnability of Halfspaces via Logistic Loss
ICML 2022
Subspace Learning for Effective Meta-Learning
ICML 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
ICML 2022
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
ICML 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds
ICML 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model
ICML 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
ICML 2022
Adaptive Data Analysis with Correlated Observations
ICML 2022
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
ICML 2022
ActiveHedge: Hedge meets Active Learning
ICML 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
ICML 2022
Implicit Bias of Linear Equivariant Networks
ICML 2022
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
ICML 2022
Supervised Learning with General Risk Functionals
ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
ICML 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
ICML 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test
ICML 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
ICML 2022
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