Charlie Frogner

According to our database, Charlie Frogner authored at least 6 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Incorporating Unlabeled Data into Distributionally Robust Learning.

Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon

J. Mach. Learn. Res., 2021

2020

Approximate Inference with Wasserstein Gradient Flows.

Charlie Frogner, Tomaso A. Poggio

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Fast and Flexible Inference of Joint Distributions from their Marginals.

Charlie Frogner, Tomaso A. Poggio

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Embeddings into Entropic Wasserstein Spaces.

Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon

Proceedings of the 7th International Conference on Learning Representations, 2019

2015

Learning with a Wasserstein Loss.

Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2007

Discovering Weakly-Interacting Factors in a Complex Stochastic Process.

Charlie Frogner, Avi Pfeffer

Proceedings of the Advances in Neural Information Processing Systems 20, 2007