72 citations · 123 across the 12 of their papers we have counts for
7 papers · 1 filter
On the near-optimality of betting confidence sets for bounded means
Shubhanshu Shekhar, Aaditya Ramdas
Constructing nonasymptotic confidence intervals (CIs) for the mean of a univariate distribution from independent and identically distributed (i.i.d.) observations is a fundamental…
Testing exchangeability: fork-convexity, supermartingales, and e-processes
Aaditya Ramdas, Johannes Ruf, Martin Larsson +1
Suppose we observe an infinite series of coin flips , and wish to sequentially test the null that these binary random variables are exchangeable. Nonnegative superm…
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.…
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…
The limits of distribution-free conditional predictive inference
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas +1
We consider the problem of distribution-free predictive inference, with the goal of producing predictive coverage guarantees that hold conditionally rather than marginally. Existin…
Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings
Eugene Katsevich, Aaditya Ramdas
While traditional multiple testing procedures prohibit adaptive analysis choices made by users, Goeman and Solari (2011) proposed a simultaneous inference framework that allows use…