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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
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
NIPS 2022
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
NIPS 2022
Misspecified Phase Retrieval with Generative Priors
NIPS 2022
Regret Bounds for Information-Directed Reinforcement Learning
NIPS 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NIPS 2022
On Margins and Generalisation for Voting Classifiers
NIPS 2022
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
NIPS 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs
NIPS 2022
Learning Higher-Order Logic Programs From Failures
IJCAI 2022
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
NIPS 2022
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
NIPS 2022
Universal Online Learning with Unbounded Losses: Memory Is All You Need
ALT 2022
A Theory of PAC Learnability under Transformation Invariances
NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
NIPS 2022
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
COLT 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
CVPR 2022
A Fast Algorithm for PAC Combinatorial Pure Exploration
AAAI 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NIPS 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration
NIPS 2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
NIPS 2022
Online Decision Mediation
NIPS 2022
Universal Online Learning with Bounded Loss: Reduction to Binary Classification
COLT 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDP
NIPS 2022
Verification and search algorithms for causal DAGs
NIPS 2022
How does the pre-training objective affect what large language models learn about linguistic properties?
ACL 2022
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