no code implementations • 7 Jun 2020 • Daeyoung Kim, Esteban G. Tabak
A novel algorithm is proposed to solve the sample-based optimal transport problem.
no code implementations • 9 Apr 2019 • Sheng Liu, Mark Cheng, Hayley Brooks, Wayne Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda
We apply our methodology to detect anomalous individuals, to cluster the cohort into groups with different sleeping tendencies, and to obtain improved predictions of future sleep behavior.
no code implementations • 1 Jul 2018 • Montacer Essid, Debra Laefer, Esteban G. Tabak
An adaptive, adversarial methodology is developed for the optimal transport problem between two distributions $\mu$ and $\nu$, known only through a finite set of independent samples $(x_i)_{i=1.. N}$ and $(y_j)_{j=1.. M}$.
Optimization and Control
no code implementations • 31 Jan 2017 • Chenyue Wu, Esteban G. Tabak
Prototypal analysis is introduced to overcome two shortcomings of archetypal analysis: its sensitivity to outliers and its non-locality, which reduces its applicability as a learning tool.