Theory

The Relative Clauses AMR Parsers Hate Most COLING 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 The role of randomness in quantum state certification with unentangled measurements COLT 2024 The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NeurIPS 2024 The Secretary Problem with Predicted Additive Gap NeurIPS 2024 The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks ICML 2024 TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models ACL 2024 Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme IJCAI 2024 To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets ICLR 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024 Topological Expressivity of ReLU Neural Networks COLT 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NeurIPS 2024 Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation ICLR 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis EMNLP 2024 Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding NeurIPS 2024