Learning Theory

Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NeurIPS 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learning (Very) Simple Generative Models Is Hard NeurIPS 2022 Learning with Distributional Inverters ALT 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Learning with little mixing NeurIPS 2022 Learning with metric losses COLT 2022 Lethal Dose Conjecture on Data Poisoning NeurIPS 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022 Life after BERT: What do Other Muppets Understand about Language? ACL 2022 Linear Label Ranking with Bounded Noise NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Local Identifiability of Deep ReLU Neural Networks: the Theory NeurIPS 2022 Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022 Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NeurIPS 2022 Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022 Low-Level Physiological Implications of End-to-End Learning for Speech Recognition Interspeech 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022 Masked Prediction: A Parameter Identifiability View NeurIPS 2022 Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation ICML 2022 Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022 Measures of Information Reflect Memorization Patterns NeurIPS 2022 Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization NeurIPS 2022 Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022