2 citations · 3 across the 5 of their papers we have counts for
5 papers
PreAct-Bench: Benchmarking Predictive Monitoring in LLMs
Hainiu Xu, Italo Luis da Silva, Jiangnan Ye +7
Large language models (LLMs) are increasingly deployed as autonomous agents capable of executing multi-step action trajectories toward a given objective. While existing safety rese…
Mean Testing under Truncation beyond Gaussian
Yuhao Wang, Roberto Imbuzeiro Oliveira, Themis Gouleakis
We characterize the fundamental limits of high-dimensional mean testing under arbitrary truncation, where samples are drawn from the conditional distribution for…
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
Lin Liu, Xinbo Wang, Yuhao Wang
Treatment effect estimation under unconfoundedness is a fundamental task in causal inference. In response to the challenge of analyzing high-dimensional datasets collected in subst…
Estimation of the -norm and testing in sparse linear regression with unknown variance
Alexandra Carpentier, Olivier Collier, Laetitia Comminges +2
We consider the related problems of estimating the -norm and the squared -norm in sparse linear regression with unknown variance, as well as the problem of testing the hy…
Minimax rate of testing in sparse linear regression
Alexandra Carpentier, Olivier Collier, Laëtitia Comminges +2
We consider the problem of testing the hypothesis that the parameter of linear regression model is 0 against an s-sparse alternative separated from 0 in the l2-distance. We show th…