8 citations · 16 across the 3 of their papers we have counts for
4 papers
Concentration Inequalities for the Empirical Distribution
Jay Mardia, Jiantao Jiao, Ervin Tánczos +2
We study concentration inequalities for the Kullback--Leibler (KL) divergence between the empirical distribution and the true distribution. Applying a recursion technique, we impro…
A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing
Bob Mankoff, Robert Nowak, Ervin Tanczos
This paper focuses on best-arm identification in multi-armed bandits with bounded rewards. We develop an algorithm that is a fusion of lil-UCB and KL-LUCB, offering the best qualit…
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets
Rui M. Castro, Ervin Tánczos
This paper investigates the problem of recovering the support of structured signals via adaptive compressive sensing. We examine several classes of structured support sets, and cha…
Adaptive Sensing for Estimation of Structured Sparse Signals
Ervin Tánczos, Rui M. Castro
In many practical settings one can sequentially and adaptively guide the collection of future data, based on information extracted from data collected previously. These sequential…