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Learning Theory

5,312 papers

Papers per year

Papers

Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning NAACL 2022
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning RSS 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints UAI 2022
On the inductive bias of neural networks for learning read-once DNFs UAI 2022
Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022
Towards painless policy optimization for constrained MDPs UAI 2022
$\ell_∞$-Bounds of the MLE in the BTL Model under General Comparison Graphs UAI 2022
Evaluating high-order predictive distributions in deep learning UAI 2022
Quantum perceptron revisited: Computational-statistical tradeoffs UAI 2022
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study UAI 2022
Robust identifiability in linear structural equation models of causal inference UAI 2022
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning UAI 2022
High-probability bounds for robust stochastic Frank-Wolfe algorithm UAI 2022
Learning invariant weights in neural networks UAI 2022
Causal forecasting: generalization bounds for autoregressive models UAI 2022
Toward learning human-aligned cross-domain robust models by countering misaligned features UAI 2022
Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NIPS 2021
Predicting What You Already Know Helps: Provable Self-Supervised Learning NIPS 2021
The Complexity of Bayesian Network Learning: Revisiting the Superstructure NIPS 2021
What training reveals about neural network complexity NIPS 2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents NIPS 2021
Subgroup Generalization and Fairness of Graph Neural Networks NIPS 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection NIPS 2021