Theory

Guide to Numerical Experiments on Elections in Computational Social Choice IJCAI 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Hamiltonian Score Matching and Generative Flows NeurIPS 2024 Hardness of Random Reordered Encodings of Parity for Resolution and CDCL AAAI 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024 Harnessing Multiple Correlated Networks for Exact Community Recovery NeurIPS 2024 HEMM: Holistic Evaluation of Multimodal Foundation Models NeurIPS 2024 Hidden Persuaders: LLMs’ Political Leaning and Their Influence on Voters EMNLP 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 How connectivity structure shapes rich and lazy learning in neural circuits ICLR 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 How Good Are LLMs at Out-of-Distribution Detection? COLING 2024 How Hard Is It to Impact the Impact of Your Paper? IJCAI 2024 How many classifiers do we need? NeurIPS 2024 How Spurious Features are Memorized: Precise Analysis for Random and NTK Features ICML 2024 Hyperbolic Embeddings of Supervised Models NeurIPS 2024 I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing NeurIPS 2024 I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiability of Product of Experts Models AISTATS 2024 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024