38 citations · 70 across the 19 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
stat.ME2022★ 2 cited
A Permutation-Free Kernel Independence Test
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
In nonparametric independence testing, we observe i.i.d.\ data , where lie in any general spaces, and we wish to test…
stat.ME2022★ 1 cited
A Permutation-free Kernel Two-Sample Test
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
The kernel Maximum Mean Discrepancy~(MMD) is a popular multivariate distance metric between distributions that has found utility in two-sample testing. The usual kernel-MMD test st…
cs.LG2022
Instance-Dependent Regret Analysis of Kernelized Bandits
Shubhanshu Shekhar, Tara Javidi
We study the kernelized bandit problem, that involves designing an adaptive strategy for querying a noisy zeroth-order-oracle to efficiently learn about the optimizer of an unknown…