Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Michael Logan is an experienced writer, producer, and editorial leader. As a journalist, he ...

Abstract: This paper addresses explainability of the operator-regularization approach under the use of monotone Lipschitz-gradient (MoL-Grad) denoiser — an operator that can be expressed as the ...

We study contextual bandit learning with an abstract policy class and continuous action space. We obtain two qualitatively different regret bounds: one competes with a smoothed version of the policy ...

This repository contains code for the paper 1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness, where we compare different methods of generating 1-Lipschitz layers. A figure ...

Abstract: A continuity structure of correlations among arms in multi-armed bandit can bring a significant acceleration of exploration and reduction of regret, in particular, when there are many arms.