Learning Theory

A PDE approach for regret bounds under partial monitoring JMLR 2023 A Picture of the Space of Typical Learnable Tasks ICML 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023 Approximation-Generalization Trade-offs under (Approximate) Group Equivariance NeurIPS 2023 A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023 AQuA: A Benchmarking Tool for Label Quality Assessment NeurIPS 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 Are GATs Out of Balance? NeurIPS 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 Are Sample-Efficient NLP Models More Robust? ACL 2023 Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models EMNLP 2023 A Survey of MWE Identification Experiments: The Devil is in the Details EACL 2023 Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits NeurIPS 2023 Atari-5: Distilling the Arcade Learning Environment down to Five Games ICML 2023 A Theoretical Analysis of the Learning Dynamics under Class Imbalance ICML 2023 A theoretical study of inductive biases in contrastive learning ICLR 2023 A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity ICLR 2023 A Theory of Dynamic Benchmarks ICLR 2023 A Theory of Multimodal Learning NeurIPS 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 A Theory of Unsupervised Speech Recognition ACL 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 A Trichotomy for Transductive Online Learning NeurIPS 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023