Learning Theory
6,809 papers
Papers per year
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Papers
Exploring Geometry of Blind Spots in Vision models
NeurIPS 2023
Exploring Local Norms in Exp-concave Statistical Learning
COLT 2023
Exploring Model Transferability through the Lens of Potential Energy
ICCV 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
Exponential Generalization Bounds with Near-Optimal Rates for L_q-Stable Algorithms
ICLR 2023
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
COLT 2023
Failure-Aware Gaussian Process Optimization with Regret Bounds
NeurIPS 2023
Fairness and Accuracy under Domain Generalization
ICLR 2023
Faith and Fate: Limits of Transformers on Compositionality
NeurIPS 2023
False Discovery Proportion control for aggregated Knockoffs
NeurIPS 2023
Fantastic Robustness Measures: The Secrets of Robust Generalization
NeurIPS 2023
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
ICCV 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
AAAI 2023
Fast Excess Risk Rates via Offset Rademacher Complexity
ICML 2023
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
NeurIPS 2023
Feature selection and low test error in shallow low-rotation ReLU networks
ICLR 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning
ACL 2023
Find a witness or shatter: the landscape of computable PAC learning.
COLT 2023
Finding Generalization Measures by Contrasting Signal and Noise
ICML 2023
Fine-Grained Distribution-Dependent Learning Curves
COLT 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
ICML 2023
Finite-Time Logarithmic Bayes Regret Upper Bounds
NeurIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NeurIPS 2023
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
ICLR 2023