2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
Elliot G Mitchell, Esteban G Tabak, Matthew E Levine +2
Decision-making related to health is complex. Machine learning (ML) and patient generated data can identify patterns and insights at the individual level, where human cognition fal…
Data Driven Conditional Optimal Transport
Esteban G. Tabak, Giulio Trigila, Wenjun Zhao
A data driven procedure is developed to compute the optimal map between two conditional probabilities and depending on a set of covari…
An implicit gradient-descent procedure for minimax problems
Montacer Essid, Esteban Tabak, Giulio Trigila
A game theory inspired methodology is proposed for finding a function's saddle points. While explicit descent methods are known to have severe convergence issues, implicit methods…
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
Sheng Liu, Mark Cheng, Hayley Brooks +4
We propose a nonparametric model for time series with missing data based on low-rank matrix factorization. The model expresses each instance in a set of time series as a linear com…