37 citations · 69 across the 30 of their papers we have counts for
3 papers · 2 filters
Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
We consider expected risk minimization problems when the range of the estimator is required to be nonnegative, motivated by the settings of maximum likelihood estimation (MLE) and…
Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat
Gaussian processes provide a framework for nonlinear nonparametric Bayesian inference widely applicable across science and engineering. Unfortunately, their computational burden sc…
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang +1
We study the estimation of risk-sensitive policies in reinforcement learning problems defined by a Markov Decision Process (MDPs) whose state and action spaces are countably finite…