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Learning Theory

5312 directly classified papers

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Papers

Derandomizing Multi-Distribution Learning NIPS 2024
Accelerating Matroid Optimization through Fast Imprecise Oracles NIPS 2024
When Is Inductive Inference Possible? NIPS 2024
Optimal Design for Human Preference Elicitation NIPS 2024
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NIPS 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
On the Concentration of the Minimizers of Empirical Risks JMLR 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024
The Implicit Bias of Gradient Descent on Separable Multiclass Data NIPS 2024
Bandits with Ranking Feedback NIPS 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NIPS 2024
Optimal Clustering with Bandit Feedback JMLR 2024
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy ACL 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NIPS 2024
On the Optimality of Misspecified Spectral Algorithms JMLR 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NIPS 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NIPS 2024
SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation ACL 2024
Queueing Matching Bandits with Preference Feedback NIPS 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NIPS 2024
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NIPS 2024
On the Sparsity of the Strong Lottery Ticket Hypothesis NIPS 2024