Learning Theory
6,809 papers
Papers per year
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Papers
TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions
ALT 2022
The CLRS Algorithmic Reasoning Benchmark
ICML 2022
The Complexity of Learning Approval-Based Multiwinner Voting Rules
AAAI 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning
AISTATS 2022
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning
AAAI 2022
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction
EMNLP 2022
The Fragility of Multi-Treebank Parsing Evaluation
COLING 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
NeurIPS 2022
The Implicit Bias of Benign Overfitting
COLT 2022
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks
JMLR 2022
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks
COLT 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
ICML 2022
Theoretical analysis of deep neural networks for temporally dependent observations
NeurIPS 2022
The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study
ACL 2022
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication
COLT 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
NeurIPS 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
ICML 2022
The Primacy Bias in Deep Reinforcement Learning
ICML 2022
The Privacy Onion Effect: Memorization is Relative
NeurIPS 2022
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
EMNLP 2022
The Role of Interactivity in Structured Estimation
COLT 2022
The role of optimization geometry in single neuron learning
AISTATS 2022
The Sample Complexity of One-Hidden-Layer Neural Networks
NeurIPS 2022
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
ICLR 2022