← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5312 directly classified papers

Papers per year

Papers

Memory of recurrent networks: Do we compute it right? JMLR 2024
Improved Sample Complexity Bounds for Diffusion Model Training NIPS 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024
Target Speaker Extraction with Curriculum Learning INTERSPEECH 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024
Online Learning with Sublinear Best-Action Queries NIPS 2024
Understanding the Generalization Benefits of Late Learning Rate Decay AISTATS 2024
Memorization With Neural Nets: Going Beyond the Worst Case JMLR 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Gradient-Variation Online Learning under Generalized Smoothness NIPS 2024
DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024
Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024
Fair Online Bilateral Trade NIPS 2024
On the Intractability to Synthesize Factual Inconsistencies in Summarization EACL 2024
On the Expressivity of Recurrent Neural Cascades AAAI 2024
Benign overfitting in leaky ReLU networks with moderate input dimension NIPS 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NIPS 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024
Neural Redshift: Random Networks are not Random Functions CVPR 2024
A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024