72 citations · 126 across the 67 of their papers we have counts for
10 papers · 1 filter
The Power of Batching in Multiple Hypothesis Testing
Tijana Zrnic, Daniel L. Jiang, Aaditya Ramdas +1
One important partition of algorithms for controlling the false discovery rate (FDR) in multiple testing is into offline and online algorithms. The first generally achieve signific…
Online control of the familywise error rate
Jinjin Tian, Aaditya Ramdas
Biological research often involves testing a growing number of null hypotheses as new data is accumulated over time. We study the problem of online control of the familywise error…
Interactive Martingale Tests for the Global Null
Boyan Duan, Aaditya Ramdas, Sivaraman Balakrishnan +1
Global null testing is a classical problem going back about a century to Fisher's and Stouffer's combination tests. In this work, we present simple martingale analogs of these clas…
Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein, Aaditya Ramdas
The false coverage rate (FCR) is the expected ratio of number of constructed confidence intervals (CIs) that fail to cover their respective parameters to the total number of constr…
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Jinjin Tian, Aaditya Ramdas
Major internet companies routinely perform tens of thousands of A/B tests each year. Such large-scale sequential experimentation has resulted in a recent spurt of new algorithms th…
Are sample means in multi-armed bandits positively or negatively biased?
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
It is well known that in stochastic multi-armed bandits (MAB), the sample mean of an arm is typically not an unbiased estimator of its true mean. In this paper, we decouple three d…