72 citations · 147 across the 99 of their papers we have counts for
10 papers · 1 filter
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Estimation of the Average Treatment Effect (ATE) is a core problem in causal inference with strong connections to Off-Policy Evaluation in Reinforcement Learning. This paper consid…
Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
Justin Whitehouse, Ben Chugg, Diego Martinez-Taboada +1
We consider estimating the shared mean of a sequence of heavy-tailed random variables taking values in a Banach space. In particular, we revisit and extend a simple truncation-base…
Sharp Matrix Empirical Bernstein Inequalities
Hongjian Wang, Aaditya Ramdas
We present two sharp, closed-form empirical Bernstein inequalities for symmetric random matrices with bounded eigenvalues. By sharp, we mean that both inequalities adapt to the unk…
Hypothesis testing with e-values
Aaditya Ramdas, Ruodu Wang
This book is written to offer a humble, but unified, treatment of e-values in hypothesis testing. It is organized into three parts: Fundamental Concepts, Core Ideas, and Advanced T…
Improving Wald's (approximate) sequential probability ratio test by avoiding overshoot
Lasse Fischer, Aaditya Ramdas
Wald's sequential probability ratio test (SPRT) is a cornerstone of sequential analysis. Based on desired type-I, II error levels , it stops when the likelihood ratio crosses…
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao, Reid Simmons, Henny Admoni +2
In interactive imitation learning (IL), uncertainty quantification offers a way for the learner (i.e. robot) to contend with distribution shifts encountered during deployment by ac…