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Learning Theory

5312 directly classified papers

Papers per year

Papers

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025
Evaluating Morphological Compositional Generalization in Large Language Models NAACL 2025
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering NAACL 2025
Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025
Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025
Learning Accurate and Interpretable Decision Trees (Extended Abstract) IJCAI 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025
On the Generalization of Feature Incremental Learning IJCAI 2025
On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025
Towards Improved Risk Bounds for Transductive Learning IJCAI 2025
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It IJCAI 2025
Do Construction Distributions Shape Formal Language Learning In German BabyLMs? CONLL 2025
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule AAAI 2025
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach AAAI 2025
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025
Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game JMLR 2025
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025
Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound JMLR 2025
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025