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2020 – today
- 2021
[j1]Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. J. Mach. Learn. Res. 22: 56:1-56:46 (2021)- 2020
- [c5]Charlie Frogner, Tomaso A. Poggio:
Approximate Inference with Wasserstein Gradient Flows. AISTATS 2020: 2581-2590
2010 – 2019
- 2019
- [c4]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) 2019 - [c3]Charlie Frogner, Tomaso A. Poggio:
Fast and Flexible Inference of Joint Distributions from their Marginals. ICML 2019: 2002-2011 - [i4]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. CoRR abs/1905.03329 (2019) - [i3]Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. CoRR abs/1912.07729 (2019) - 2018
- [i2]Charlie Frogner, Tomaso A. Poggio:
Approximate inference with Wasserstein gradient flows. CoRR abs/1806.04542 (2018) - 2015
- [c2]Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio:
Learning with a Wasserstein Loss. NIPS 2015: 2053-2061 - [i1]Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio:
Learning with a Wasserstein Loss. CoRR abs/1506.05439 (2015)
2000 – 2009
- 2007
- [c1]Charlie Frogner, Avi Pfeffer:
Discovering Weakly-Interacting Factors in a Complex Stochastic Process. NIPS 2007: 481-488
Coauthor Index
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