Ramadge, Peter

7 publications

ICML 2024 Generative Marginalization Models Sulin Liu, Peter Ramadge, Ryan P Adams

ICMLW 2023 Generative Marginalization Models Sulin Liu, Peter Ramadge, Ryan P Adams

AISTATS 2021 A Contraction Approach to Model-Based Reinforcement Learning Ting-Han Fan, Peter Ramadge

AISTATS 2020 Revisiting the Landscape of Matrix Factorization Hossein Valavi, Sulin Liu, Peter Ramadge

AISTATS 2010 Descent Methods for Tuning Parameter Refinement Alexander Lorbert, Peter Ramadge

AISTATS 2010 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander Lorbert, David Eis, Victoria Kostina, David Blei, Peter Ramadge

AISTATS 2009 Speed and Sparsity of Regularized Boosting Yongxin Xi, Zhen Xiang, Peter Ramadge, Robert Schapire