Learning Theory
6,809 papers
Papers per year
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73
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126
128
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408
512
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Papers
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
JMLR 2024
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
On the Power and Limitations of Examples for Description Logic Concepts
IJCAI 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX
AISTATS 2024
On the Provable Advantage of Unsupervised Pretraining
ICLR 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
ACL 2024
On the Role of General Function Approximation in Offline Reinforcement Learning
ICLR 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
NeurIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
On the sample complexity of parameter estimation in logistic regression with normal design
COLT 2024
On the sample complexity of privately learning half-spaces
ACML 2024
On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation
ALT 2024
On the Saturation Effects of Spectral Algorithms in Large Dimensions
NeurIPS 2024
On the Scalability of Diffusion-based Text-to-Image Generation
CVPR 2024
On the Sparsity of the Strong Lottery Ticket Hypothesis
NeurIPS 2024
On the Stability and Generalization of Meta-Learning
NeurIPS 2024
On The Statistical Complexity of Offline Decision-Making
ICML 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
AISTATS 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NeurIPS 2024
On the uniqueness of solution for the Bellman equation of LTL objectives
L4DC 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
AISTATS 2024
On Tractable Φ-Equilibria in Non-Concave Games
NeurIPS 2024
On Training Data Influence of GPT Models
EMNLP 2024
On Using Admissible Bounds for Learning Forward Search Heuristics
IJCAI 2024