activity
20132023
most citedCensored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2023

Networked Sensing for Radiation Detection, Localization, and Tracking

R. J. Cooper, N. Abgrall, G. Aversano +18

The detection, identification, and localization of illicit radiological and nuclear material continue to be key components of nuclear non-proliferation and nuclear security efforts…

physics.ins-det2023

Background and Anomaly Learning Methods for Static Gamma-ray Detectors

M. S. Bandstra, N. Abgrall, R. J. Cooper +8

Static gamma-ray detector systems that are deployed outdoors for radiological monitoring purposes experience time- and spatially-varying natural backgrounds and encounters with man…

cs.LG2021

Censored Semi-Bandits for Resource Allocation

Arun Verma, Manjesh K. Hanawal, Arun Rajkumar +1

We consider the problem of sequentially allocating resources in a censored semi-bandits setup, where the learner allocates resources at each step to the arms and observes loss. The…

cs.LG2019★ 7 cited

Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback

Arun Verma, Manjesh K. Hanawal, Arun Rajkumar +1

In this paper, we study censored Semi-Bandits, a novel variant of the semi-bandits problem. The learner is assumed to have a fixed amount of resources, which it allocates to the ar…

cs.LG2013★ 4 cited

Controlled Sparsity Kernel Learning

Dinesh Govindaraj, Raman Sankaran, Sreedal Menon +1

Multiple Kernel Learning(MKL) on Support Vector Machines(SVMs) has been a popular front of research in recent times due to its success in application problems like Object Categoriz…