Jia He

Machine Learning (4) Optimization & Theory (4) Deep Learning (3) Reinforcement Learning (3) Core Methods (3) Methods (3) Applications (2) Architectures (2) Bayesian & Probabilistic (2) Learning Types (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Core AI (1) Models (1)

multi-view learning (2) variational inference (1) model-based reinforcement learning (1) policy gradient (1) subspace learning (1) object detection (1) constrained reinforcement learning (1) policy learning (1) markov chain monte carlo (1) max-margin classification (1) gradient descent (1) canonical correlation analysis (1) continuous control (1) constraint satisfaction (1) bayesian inference (1) policy optimization (1) expressive power (1) posterior approximation (1) multi-view subspace learning (1) dirichlet process (1)