2 citations · 2 across the 3 of their papers we have counts for
5 papers
Surrogate-powered Causal Inference with Censored Outcomes
Yaroslav Mukhin, Tereza Oprea, Arielle Anderer +2
Clinical trials with survival endpoints lose information when participants are censored before death is observed. We develop target-preserving estimators that use posttreatment dis…
Learning from a Mixture of Information Sources
Nicole Immorlica, Brendan Lucier, Yaroslav Mukhin +2
We often learn from multiple sources that convey information in different ways. How informative is it to know the source of a signal, and how is this informativeness shaped by the…
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian Cho, Yaroslav Mukhin, Kyra Gan +1
When estimating target parameters in nonparametric models with nuisance parameters, substituting the unknown nuisances with nonparametric estimators can introduce ``plug-in bias.''…
Sensitivity of Regular Estimators
Yaroslav Mukhin
This paper studies local asymptotic relationship between two scalar estimates. We define sensitivity of a target estimate to a control estimate to be the directional derivative of…