23 citations · 57 across the 29 of their papers we have counts for
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cs.LG2019
On Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury, Aditya Gopalan
We develop algorithms with low regret for learning episodic Markov decision processes based on kernel approximation techniques. The algorithms are based on both the Upper Confidenc…
cs.LG2019★ 3 cited
On Batch Bayesian Optimization
Sayak Ray Chowdhury, Aditya Gopalan
We present two algorithms for Bayesian optimization in the batch feedback setting, based on Gaussian process upper confidence bound and Thompson sampling approaches, along with fre…
cs.LG2019★ 9 cited
Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury, Aditya Gopalan
We consider black box optimization of an unknown function in the nonparametric Gaussian process setting when the noise in the observed function values can be heavy tailed. This is…