Learning Theory

Tight Bounds for Local Glivenko-Cantelli ALT 2024 Tight bounds for maximum ℓ_1-margin classifiers ALT 2024 Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders ICML 2024 Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks ICML 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024 Towards a statistical theory of data selection under weak supervision ICLR 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024 Towards Certifiably Robust Face Recognition ECCV 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 Towards Establishing Guaranteed Error for Learned Database Operations ICLR 2024 Towards Exact Computation of Inductive Bias IJCAI 2024 Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective ICML 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NeurIPS 2024 Towards Principled Graph Transformers NeurIPS 2024 Towards Realistic Model Selection for Semi-supervised Learning ICML 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 Towards Robust Out-of-Distribution Generalization Bounds via Sharpness ICLR 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024