Daniele Calandriello

regret bound (4) bayesian optimization (3) sampling algorithm (3) reinforcement learning (3) gaussian process (3) matrix approximation (2) kernel methods (2) subset selection (2) determinantal point process (2) policy optimization (2) kernel ridge regression (2) posterior sampling (2) policy iteration (2) sample complexity (2) matrix sketching (2) graph learning (1) bayesian reinforcement learning (1) multi-task learning (1) bayesian inference (1) graph laplacian (1)