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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
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
RNNRepair: Automatic RNN Repair via Model-based Analysis
ICML 2021
Batch Value-function Approximation with Only Realizability
ICML 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
ICML 2021
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
ICML 2021
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
ICML 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
ICML 2021
Near Optimal Reward-Free Reinforcement Learning
ICML 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
ICML 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
ICML 2021
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
ICML 2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences
ICML 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
ICML 2021
A Functional Perspective on Learning Symmetric Functions with Neural Networks
ICML 2021
Learning Within an Instance for Designing High-Revenue Combinatorial Auctions
IJCAI 2021
What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation
IJCAI 2021
Learning Implicitly with Noisy Data in Linear Arithmetic
IJCAI 2021
Bounded-cost Search Using Estimates of Uncertainty
IJCAI 2021
On Belief Change for Multi-Label Classifier Encodings
IJCAI 2021
Decomposition-Guided Reductions for Argumentation and Treewidth
IJCAI 2021
Efficient PAC Reinforcement Learning in Regular Decision Processes
IJCAI 2021
Towards Understanding the Spectral Bias of Deep Learning
IJCAI 2021
Jointly Learning Prices and Product Features
IJCAI 2021
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
IJCAI 2021
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