21 citations · 43 across the 10 of their papers we have counts for
5 papers · 1 filter
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Estimation and inference for the Average Treatment Effect (ATE) is a cornerstone of causal inference and often serves as the foundation for developing procedures for more complicat…
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…
Minimax Lower Bounds for Linear Independence Testing
Aaditya Ramdas, David Isenberg, Aarti Singh +1
Linear independence testing is a fundamental information-theoretic and statistical problem that can be posed as follows: given points from a dimen…
An Analysis of Active Learning With Uniform Feature Noise
Aaditya Ramdas, Barnabas Poczos, Aarti Singh +1
In active learning, the user sequentially chooses values for feature and an oracle returns the corresponding label . In this paper, we consider the effect of feature noise i…
On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions
Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos +2
This paper is about two related decision theoretic problems, nonparametric two-sample testing and independence testing. There is a belief that two recently proposed solutions, base…