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Learning Theory

5312 directly classified papers

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Papers

Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023
Can Pretrained Language Models (Yet) Reason Deductively? EACL 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness NIPS 2023
SQ Lower Bounds for Learning Mixtures of Linear Classifiers NIPS 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NIPS 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond ICML 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games NIPS 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise ICML 2023
Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023
Delayed Bandits: When Do Intermediate Observations Help? ICML 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023
Anytime Model Selection in Linear Bandits NIPS 2023
Generalization Bounds for Adversarial Contrastive Learning JMLR 2023
Generalized test utilities for long-tail performance in extreme multi-label classification NIPS 2023
Attacks on Online Learners: a Teacher-Student Analysis NIPS 2023
Tighter Bounds on the Expressivity of Transformer Encoders ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs NIPS 2023
What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023