Learning Theory

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024 Online conformal prediction with decaying step sizes ICML 2024 Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NeurIPS 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024 Online Learning with Set-valued Feedback COLT 2024 Online Learning with Sublinear Best-Action Queries NeurIPS 2024 Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NeurIPS 2024 On Representation Complexity of Model-based and Model-free Reinforcement Learning ICLR 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) NeurIPS 2024 On the Asymptotic Distribution of the Minimum Empirical Risk ICML 2024 On the cohesion and separability of average-link for hierarchical agglomerative clustering NeurIPS 2024 On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries NeurIPS 2024 On the Computability of Robust PAC Learning COLT 2024 On the Computational Benefit of Multimodal Learning ALT 2024 On the Computational Landscape of Replicable Learning NeurIPS 2024 On the Concentration of the Minimizers of Empirical Risks JMLR 2024 On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024 On the Consistency of Kernel Methods with Dependent Observations ICML 2024 On the Diminishing Returns of Width for Continual Learning ICML 2024 On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024