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Learning Theory

5,312 papers

Papers per year

Papers

Counterfactual Memorization in Neural Language Models NIPS 2023
A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings ACL 2023
On the Convergence of Encoder-only Shallow Transformers NIPS 2023
Tournaments, Johnson Graphs and NC-Teaching ALT 2023
On the Minimax Regret for Online Learning with Feedback Graphs NIPS 2023
Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee NIPS 2023
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal COLT 2023
Zero-Regret Performative Prediction Under Inequality Constraints NIPS 2023
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NIPS 2023
Testing Tail Weight of a Distribution Via Hazard Rate ALT 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem ALT 2023
Long-Term Fairness with Unknown Dynamics NIPS 2023
Bridging RL Theory and Practice with the Effective Horizon NIPS 2023
Error Bounds for Learning with Vector-Valued Random Features NIPS 2023
Hypothesis Selection with Memory Constraints NIPS 2023
MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning ACL 2023
Faith and Fate: Limits of Transformers on Compositionality NIPS 2023
On Masked Pre-training and the Marginal Likelihood NIPS 2023
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces JMLR 2023
Learning in online MDPs: is there a price for handling the communicating case? UAI 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts NIPS 2023
ALERT: Adapt Language Models to Reasoning Tasks ACL 2023
Sample Complexity Bound for Evaluating the Robust Observer’s Performance under Coprime Factors Uncertainty L4DC 2023
Scalable Performance Analysis for Vision-Language Models ACL 2023