37 citations · 78 across the 38 of their papers we have counts for
4 papers · 1 filter
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
Tong Mu, Georgios Theocharous, David Arbour +1
Online reinforcement learning (RL) algorithms are often difficult to deploy in complex human-facing applications as they may learn slowly and have poor early performance. To addres…
Estimating the effects of a California gun control program with Multitask Gaussian Processes
Eli Ben-Michael, David Arbour, Avi Feller +2
Gun violence is a critical public safety concern in the United States. In 2006 California implemented a unique firearm monitoring program, the Armed and Prohibited Persons System (…
Time-uniform central limit theory and asymptotic confidence sequences
Ian Waudby-Smith, David Arbour, Ritwik Sinha +2
Confidence intervals based on the central limit theorem (CLT) are a cornerstone of classical statistics. Despite being only asymptotically valid, they are ubiquitous because they p…
Online Discrepancy Minimization via Persistent Self-Balancing Walks
David Arbour, Drew Dimmery, Tung Mai +1
We study the online discrepancy minimization problem for vectors in in the oblivious setting where an adversary is allowed fix the vectors in…