22 citations · 33 across the 12 of their papers we have counts for
5 papers · 1 filter
Minimax Optimal Sequential Hypothesis Tests for Markov Processes
Michael Fauss, Abdelhak M. Zoubir, H. Vincent Poor
Under mild Markov assumptions, sufficient conditions for strict minimax optimality of sequential tests for multiple hypotheses under distributional uncertainty are derived. First,…
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution
Michael Fauss, Alex Dytso, Abdelhak M. Zoubir +1
Tight bounds on the minimum mean square error for the additive Gaussian noise channel are derived, when the input distribution is constrained to be epsilon-close to a Gaussian refe…
On the Equivalence of f-Divergence Balls and Density Bands in Robust Detection
Michael Fauss, Abdelhak M. Zoubir, H. Vincent Poor
The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a non-parametric uncertainty set of feasible distributions.…
A New Sparse and Robust Adaptive Lasso Estimator for the Independent Contamination Model
Jasin Machkour, Michael Muma, Bastian Alt +1
Many problems in signal processing require finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. When dealing with real-world data, the pre…
A Linear Programming Approach to Sequential Hypothesis Testing
Michael Fauss, Abdelhak M. Zoubir
Under some mild Markov assumptions it is shown that the problem of designing optimal sequential tests for two simple hypotheses can be formulated as a linear program. The result is…