Conference

Efficient Second-Order Online Kernel Learning with Adaptive Embedding
D Calandriello, A Lazaric, M Valko
Advances in Neural Information Processing Systems (NIPS), 2017

Second-Order Kernel Online Convex Optimization with Adaptive Sketching
D Calandriello, M Valko, A Lazaric
International Conference on Machine Learning (ICML), 2017

Distributed adaptive sampling for kernel matrix approximation [code]
D Calandriello, A Lazaric, M Valko
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017

Analysis of Nyström method with sequential ridge leverage score sampling
D Calandriello, A Lazaric, M Valko
Uncertainty in Artificial Intelligence (UAI), 2016

Sparse Multi-task Reinforcement Learning
D Calandriello, A Lazaric, M Restelli
Advances in Neural Information Processing Systems (NIPS), 2014

Safe policy iteration
M Pirotta, M Restelli, A Pecorino, D Calandriello
International Conference on Machine Learning (ICML), 2013

Journal

Semi-supervised information-maximization clustering
D Calandriello, G Niu, M Sugiyama
Neural Networks, 2014

Physically Interactive Robogames: Definition and design guidelines
D Martinoia, D Calandriello, A Bonarini,
Robotics and Autonomous Systems 61 (8), 739-748, 2013