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math.ST2022
Estimating the minimizer and the minimum value of a regression function under passive design
Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov
We propose a new method for estimating the minimizer and the minimum value of a smooth and strongly convex regression function from the observations co…
math.ST2022★ 4 cited
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil +1
This work studies online zero-order optimization of convex and Lipschitz functions. We present a novel gradient estimator based on two function evaluations and randomization on the…