Frogner, Charlie

6 publications

JMLR 2021 Incorporating Unlabeled Data into Distributionally Robust Learning Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon

AISTATS 2020 Approximate Inference with Wasserstein Gradient Flows Charlie Frogner, Tomaso Poggio

ICML 2019 Fast and Flexible Inference of Joint Distributions from Their Marginals Charlie Frogner, Tomaso Poggio

ICLR 2019 Learning Embeddings into Entropic Wasserstein Spaces Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon

NeurIPS 2015 Learning with a Wasserstein Loss Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya, Tomaso A Poggio

NeurIPS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process Charlie Frogner, Avi Pfeffer