281 citations · 461 across the 8 of their papers we have counts for
3 papers · 1 filter
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
Self-normalized processes arise naturally in many learning-related tasks. While self-normalized concentration has been extensively studied for scalar-valued processes, there are fe…
On the Sublinear Regret of GP-UCB
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
In the kernelized bandit problem, a learner aims to sequentially compute the optimum of a function lying in a reproducing kernel Hilbert space given only noisy evaluations at seque…
Adaptive Principal Component Regression with Applications to Panel Data
Anish Agarwal, Keegan Harris, Justin Whitehouse +1
Principal component regression (PCR) is a popular technique for fixed-design error-in-variables regression, a generalization of the linear regression setting in which the observed…