Theory

A Comparative Multidimensional Analysis of Empathetic Systems EACL 2024 A Controlled Reevaluation of Coreference Resolution Models COLING 2024 Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models NeurIPS 2024 Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024 A data-driven Riccati equation L4DC 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons NeurIPS 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Affine Equivariant Networks Based on Differential Invariants CVPR 2024 A generalized neural tangent kernel for surrogate gradient learning NeurIPS 2024 A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts ICML 2024 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NeurIPS 2024 Aggregation of Continuous Preferences in One Dimension IJCAI 2024 A Goal-Directed Dialogue System for Assistance in Safety-Critical Application IJCAI 2024 A large deviations perspective on policy gradient algorithms L4DC 2024 Algorithmic Capabilities of Random Transformers NeurIPS 2024 Alias-Free Mamba Neural Operator NeurIPS 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Almost Surely Asymptotically Constant Graph Neural Networks NeurIPS 2024 A Logic for Reasoning about Aggregate-Combine Graph Neural Networks IJCAI 2024 A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 An abstract theory of sensor eventification RSS 2024 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 Analysis of Corrected Graph Convolutions NeurIPS 2024