Learning Theory

Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Convergent Variational Inference NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 Graph Neural Networks Use Graphs When They Shouldn’t ICML 2024 Graph-Triggered Rising Bandits ICML 2024 GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models IJCAI 2024 Grokking as a First Order Phase Transition in Two Layer Networks ICLR 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024 Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ICLR 2024 Grokking phase transitions in learning local rules with gradient descent JMLR 2024 GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers ACL 2024 Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples ICML 2024 Harder or Different? Understanding Generalization of Audio Deepfake Detection Interspeech 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling ICML 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024 Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning ICML 2024 Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL 2024 Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models NeurIPS 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024 Highway Value Iteration Networks ICML 2024 Homomorphism Counts for Graph Neural Networks: All About That Basis ICML 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024