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Learning Theory

5312 directly classified papers

Papers per year

Papers

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Functional Directed Acyclic Graphs JMLR 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
Bandits with Concave Aggregated Reward IJCAI 2024
On the Optimality of Misspecified Spectral Algorithms JMLR 2024
Grokking phase transitions in learning local rules with gradient descent JMLR 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization NIPS 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024
Continuous Prediction with Experts' Advice JMLR 2024
On the Concentration of the Minimizers of Empirical Risks JMLR 2024
What Makes Models Compositional? A Theoretical View IJCAI 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Debiasing Evaluations That Are Biased by Evaluations JMLR 2024
Optimal Weighted Random Forests JMLR 2024
Active Classification with Few Queries under Misspecification NIPS 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024
A Characterization of Multioutput Learnability JMLR 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024