REVIEW 2 cited by
Concentration around the mean for maxima of empirical processes
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In this paper we give optimal constants in Talagrand's concentration inequalities for maxima of empirical processes associated to independent and eventually nonidentically distributed random variables. Our approach is based on the entropy method introduced by Ledoux.
Forward citations
Cited by 2 Pith papers
-
Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles
An OCO algorithm with only O(√T) static regret, pluggable as a preconditioner selector, recovers the classical O(1/√T) stationarity rate on smooth stochastic nonconvex problems and the O(T^{-2/7}) rate on nonsmooth ones.
-
Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective
The paper introduces model elasticity to bound the regret of contextual bandits with AI-imputed missing covariates, and shows that MAR-based calibration removes the dominant linear regret term.
Discussion (0). Continue with ORCID to comment.