This paper gives an overview of developments in the field of robust optimization in machine
learning (ML) in general and Support Vector Machine (SVM)/Support Vector Regression …

This paper proposes robust beamforming designs for a multiple-input-single-output (MISO)
interference channel (IC). Considering the random vector quantization (RVQ) feedback …

In this paper, two types of robust linear estimation problems for dynamic channel model
uncertainty are considered with the aim of characterizing (in computationally effective ways) …

In this paper, three MIMO robust equalization problems are considered for non-parametric
classes of channel models defined by weighted H2 or H∞ balls (of frequency-responses) …

In this paper, two types of linear estimators are considered for three related estimation set-
ups involving set-theoretic uncertainty pertaining to and balls of frequency-responses. The …

In this paper, two types of linear estimators are considered for three related estimation
problems involving set-theoretic uncertainty pertaining to $\mathcal {H} _ {2} $ and …

Рассмотрена задача минимаксного оценивания в модели линейной регрессии при
наличии поэлементных ограничений на ковариационную матрицу вектора случайных …

We consider the minimax estimation problem in the linear regression model under
elementwise constraints imposed on the covariance matrix of the random parameters vector …

We address joint design of robust precoder and equalizer in a MIMO communication system
using the minimization of weighted sum of mean square errors. In addition to imperfect …

The turbo equalizer (TEQ) is a baseband signal processor that combines the tasks of
channel equalization and channel decoding in a closed loop by using turbo principles. The …