4 accepted papers
This work establishes regularity conditions for consistency and asymptotic normality of the multiple parameter maximum likelihood estimator (MLE) from censored data, where the censoring mechanism is in the form of 1-bit measurements. The underlying distribution of the uncensored data is assumed to b…
Classification is a fundamental task in science and engineering on which machine learning methods have shown outstanding performances. However, it is challenging to determine whether such methods have achieved the Bayes error rate, that is, the lowest error rate attained by any classifier. This is m…
This work considers a co-located MIMO radar with M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</inf> transmitting and M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</inf> receiving antennas in a so…
This work outlines a method for an application of empirical Bayes in the setting of semi-supervised learning. That is, we consider a scenario in which the training set is partially or entirely unlabeled. In addition to the missing labels, we also consider a scenario where the available training data…