Theory

Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer ICLR 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024 Learning Neural Networks with Sparse Activations COLT 2024 Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis AAAI 2024 Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024 Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning to compute Gröbner bases NeurIPS 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024 Learning via Surrogate PAC-Bayes NeurIPS 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 Least Squares Regression Can Exhibit Under-Parameterized Double Descent NeurIPS 2024 Lemur: Integrating Large Language Models in Automated Program Verification ICLR 2024 Length Generalization of Causal Transformers without Position Encoding ACL 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models NeurIPS 2024 Leveraging Large Language Models for NLG Evaluation: Advances and Challenges EMNLP 2024 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 Linguistic Collapse: Neural Collapse in (Large) Language Models NeurIPS 2024 Lipschitz Singularities in Diffusion Models ICLR 2024