163 citations · 397 across the 26 of their papers we have counts for
4 papers · 1 filter
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
We study the problem of black-box optimization of a noisy function in the presence of low-cost approximations or fidelities, which is motivated by problems like hyper-parameter tun…
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani +2
Given independent samples generated from the joint distribution , we study the problem of Conditional Independence (CI-Testing), i.e., whether…
Importance Weighted Generative Networks
Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen +3
Deep generative networks can simulate from a complex target distribution, by minimizing a loss with respect to samples from that distribution. However, often we do not have direct…
Contextual Bandits with Stochastic Experts
Rajat Sen, Karthikeyan Shanmugam, Nihal Sharma +1
We consider the problem of contextual bandits with stochastic experts, which is a variation of the traditional stochastic contextual bandit with experts problem. In our problem set…