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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
Double Explore-then-Commit: Asymptotic Optimality and Beyond
COLT 2021
Asymptotically Optimal Information-Directed Sampling
COLT 2021
On the Minimal Error of Empirical Risk Minimization
COLT 2021
**Paper retracted by author request (see pdf for retraction notice from the authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping
COLT 2021
Improved Regret for Zeroth-Order Stochastic Convex Bandits
COLT 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
COLT 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations
COLT 2021
Corruption-robust exploration in episodic reinforcement learning
COLT 2021
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks
COLT 2021
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
COLT 2021
A Theory of Heuristic Learnability
COLT 2021
It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels
COLT 2021
Exponential savings in agnostic active learning through abstention
COLT 2021
Average-Case Communication Complexity of Statistical Problems
COLT 2021
Size and Depth Separation in Approximating Benign Functions with Neural Networks
COLT 2021
Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach
COLT 2021
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
COLT 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
COLT 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
Do pretrained transformers infer telicity like humans?
CONLL 2021
Contrastive Neural Architecture Search With Neural Architecture Comparators
CVPR 2021
Understanding the Behaviour of Contrastive Loss
CVPR 2021
Limitations of Post-Hoc Feature Alignment for Robustness
CVPR 2021
View Generalization for Single Image Textured 3D Models
CVPR 2021
Continual Learning via Bit-Level Information Preserving
CVPR 2021
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