From the 1 of 117 linked papers with an AI index.
7 citations · 8 across the 61 of their papers we have counts for
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Sequential Monte-Carlo testing by betting
Lasse Fischer, Aaditya Ramdas
In a Monte-Carlo test, the observed dataset is fixed, and several resampled or permuted versions of the dataset are generated in order to test a null hypothesis that the original d…
On the existence of powerful p-values and e-values for composite hypotheses
Zhenyuan Zhang, Aaditya Ramdas, Ruodu Wang
Given a composite null and composite alternative , when and how can we construct a p-value whose distribution is exactly uniform under the null, and stoc…
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…
Merging uncertainty sets via majority vote
Matteo Gasparin, Aaditya Ramdas
Given uncertainty sets that are arbitrarily dependent -- for example, confidence intervals for an unknown parameter obtained with different estimators, or prediction sets o…
Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
Hongjian Wang, Aaditya Ramdas
In 1976, Lai constructed a nontrivial confidence sequence for the mean of a Gaussian distribution with unknown variance . Curiously, he employed both an improper (right…
Bias Detection Via Signaling
Yiling Chen, Tao Lin, Ariel D. Procaccia +2
We introduce and study the problem of detecting whether an agent is updating their prior beliefs given new evidence in an optimal way that is Bayesian, or whether they are biased t…