4 citations · 4 across the 4 of their papers we have counts for
4 papers
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning
Joseph Futoma, Muhammad A. Masood, Finale Doshi-Velez
Hypotension in critical care settings is a life-threatening emergency that must be recognized and treated early. While fluid bolus therapy and vasopressors are common treatments, i…
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies
Muhammad A. Masood, Finale Doshi-Velez
Standard reinforcement learning methods aim to master one way of solving a task whereas there may exist multiple near-optimal policies. Being able to identify this collection of ne…
A particle-based variational approach to Bayesian Non-negative Matrix Factorization
M. Arjumand Masood, Finale Doshi-Velez
Bayesian Non-negative Matrix Factorization (NMF) is a promising approach for understanding uncertainty and structure in matrix data. However, a large volume of applied work optimiz…
Rapid Posterior Exploration in Bayesian Non-negative Matrix Factorization
M. Arjumand Masood, Finale Doshi-Velez
Non-negative Matrix Factorization (NMF) is a popular tool for data exploration. Bayesian NMF promises to also characterize uncertainty in the factorization. Unfortunately, current…