Search Results for author:
Found 5 papers, 1 papers with code
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
We develop a novel data-driven framework as an alternative to dynamic flux balance analysis, bypassing the demand for deep domain knowledge and manual efforts to formulate the optimization problem.
Predicting Treatment Adherence of Tuberculosis Patients at Scale
While TB is treatable, non-adherence to the medication regimen is a significant cause of morbidity and mortality.
Scheduling to Learn In An Unsupervised Online Streaming Model
The utility of a sample is a scalar multiple of its accuracy minus the response time (difference of the departure slot and the arrival slot), where the departure slot is also decided by the algorithm.
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
Owing to the growth of interest in Reinforcement Learning in the last few years, gradient based policy control methods have been gaining popularity for Control problems as well.
On reducing the order of arm-passes bandit streaming algorithms under memory bottleneck
In this work we explore multi-arm bandit streaming model, especially in cases where the model faces resource bottleneck.
