Ron Dorfman

Artificial Intelligence (4) Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (3) Learning Paradigms (3) Optimization (3) Computer Science (1) Deep Learning (1) Reinforcement Learning (1) Application Areas (1) Applications (1) Core AI (1) Methods (1) Techniques (1)

convergence rate (2) model compression (1) federated learning (1) stochastic optimization (1) temporal difference learning (1) offline reinforcement learning (1) variational inference (1) convex optimization (1) bayesian reinforcement learning (1) gradient estimation (1) belief state (1) markov chain (1) stochastic convex optimization (1) communication efficiency (1) adaptive learning rate (1) mixing time (1) exploration strategy (1) reference-free evaluation (1) decentralized learning (1) statistical guarantee (1)