Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Learning Theory
5312 directly classified 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
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
IJCAI 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective
COLT 2024
(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits
COLT 2024
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
COLT 2024
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Scaling Properties of Speech Language Models
EMNLP 2024
Towards Sharper Risk Bounds for Minimax Problems
IJCAI 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
NIPS 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
EMNLP 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
EMNLP 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process
NIPS 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
Simplicity Bias in Overparameterized Machine Learning
AAAI 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
NIPS 2024
Regularization and Optimal Multiclass Learning
COLT 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NIPS 2024
Collaborative Performance Prediction for Large Language Models
EMNLP 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss
COLT 2024
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
L4DC 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
NIPS 2024
$\widetilde{O}(T^{-1})$ Convergence to (coarse) correlated equilibria in full-information general-sum Markov games
L4DC 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
NIPS 2024
<
1
…
31
32
33
…
213
>