Theory

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NeurIPS 2022 Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022 Monotone Abstractions in Ontology-Based Data Management AAAI 2022 More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022 Most Activation Functions Can Win the Lottery Without Excessive Depth NeurIPS 2022 Multi-Agent Intention Progression with Reward Machines IJCAI 2022 Multicalibrated Partitions for Importance Weights ALT 2022 Multi-Class H-Consistency Bounds NeurIPS 2022 Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes NeurIPS 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022 Multi-view Subspace Clustering on Topological Manifold NeurIPS 2022 MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NeurIPS 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Near-Optimal Collaborative Learning in Bandits NeurIPS 2022 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes NeurIPS 2022 Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NeurIPS 2022 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NeurIPS 2022 Nested Bandits ICML 2022 Neural Abstractions NeurIPS 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 Neural Conservation Laws: A Divergence-Free Perspective NeurIPS 2022 Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes ICLR 2022