Milios, Dimitrios

5 publications

JMLR 2022 All You Need Is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone

ICML 2022 Revisiting the Effects of Stochasticity for Hamiltonian Samplers Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

NeurIPS 2021 Model Selection for Bayesian Autoencoders Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone

ICML 2021 Sparse Within Sparse Gaussian Processes Using Neighbor Information Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone

NeurIPS 2018 Dirichlet-Based Gaussian Processes for Large-Scale Calibrated Classification Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone