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20102026
most citedCensored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback

7 citations · 43 across the 68 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019

Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis

Arun Verma, Manjesh K. Hanawal, Nandyala Hemachandra

In medical diagnosis, physicians predict the state of a patient by checking measurements (features) obtained from a sequence of tests, e.g., blood test, urine test, followed by inv…

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…

econ.GN2019★ 1 cited

Revenue Sharing in the Internet: A Moral Hazard Approach and a Net-neutrality Perspective

Fehmina Malik, Manjesh K. ~Hanawal, Yezekael Hayel +1

Revenue sharing contracts between Content Providers (CPs) and Internet Service Providers (ISPs) can act as leverage for enhancing the infrastructure of the Internet. ISPs can be in…

cs.LG2019★ 1 cited

Online Algorithm for Unsupervised Sensor Selection

Arun Verma, Manjesh K. Hanawal, Csaba Szepesvári +1

In many security and healthcare systems, the detection and diagnosis systems use a sequence of sensors/tests. Each test outputs a prediction of the latent state and carries an inhe…

cs.LG2019★ 6 cited

Multiplayer Multi-armed Bandits for Optimal Assignment in Heterogeneous Networks

Harshvardhan Tibrewal, Sravan Patchala, Manjesh K. Hanawal +1

We consider an ad hoc network where multiple users access the same set of channels. The channel characteristics are unknown and could be different for each user (heterogeneous). No…