72 citations · 147 across the 93 of their papers we have counts for
6 papers · 1 filter
The leave-one-covariate-out conditional randomization test
Eugene Katsevich, Aaditya Ramdas
Conditional independence testing is an important problem, yet provably hard without assumptions. One of the assumptions that has become popular of late is called "model-X", where w…
Uncertainty quantification using martingales for misspecified Gaussian processes
Willie Neiswanger, Aaditya Ramdas
We address uncertainty quantification for Gaussian processes (GPs) under misspecified priors, with an eye towards Bayesian Optimization (BO). GPs are widely used in BO because they…
Confidence sequences for sampling without replacement
Ian Waudby-Smith, Aaditya Ramdas
Many practical tasks involve sampling sequentially without replacement (WoR) from a finite population of size , in an attempt to estimate some parameter . Accurately qu…
Analyzing Student Strategies In Blended Courses Using Clickstream Data
Nil-Jana Akpinar, Aaditya Ramdas, Umut Acar
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive op…
Familywise Error Rate Control by Interactive Unmasking
Boyan Duan, Aaditya Ramdas, Larry Wasserman
We propose a method for multiple hypothesis testing with familywise error rate (FWER) control, called the i-FWER test. Most testing methods are predefined algorithms that do not al…
On conditional versus marginal bias in multi-armed bandits
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
The bias of the sample means of the arms in multi-armed bandits is an important issue in adaptive data analysis that has recently received considerable attention in the literature.…