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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
Corrupting Neuron Explanations of Deep Visual Features
ICCV 2023
Tight and fast generalization error bound of graph embedding in metric space
ICML 2023
Universal Rates for Multiclass Learning
COLT 2023
Efficient Hyper-parameter Optimization with Cubic Regularization
NIPS 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
NIPS 2023
The One-Inclusion Graph Algorithm is not Always Optimal
COLT 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
CVPR 2023
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
NIPS 2023
Learning and Collusion in Multi-unit Auctions
NIPS 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
AAAI 2023
Complexity Analysis of a Countable-armed Bandit Problem
ALT 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
NIPS 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs
ALT 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning
ACL 2023
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
ALT 2023
Characterization and Learning of Causal Graphs with Small Conditioning Sets
NIPS 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NIPS 2023
Improving the Knowledge Gradient Algorithm
NIPS 2023
Sharp thresholds in inference of planted subgraphs
COLT 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
NIPS 2023
Error in the Euclidean Preference Model
IJCAI 2023
The Parameterized Complexity of Finding Concise Local Explanations
IJCAI 2023
Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems
COLT 2023
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers
EMNLP 2023
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