Title:    Randomized Kaczmarz Methods for Corrupted Tensor Linear Systems Abstract: Recovering tensor-valued signals from corrupted measurements is a central problem in various applications such as hyperspectral image reconstruction and medical imaging. This talk considers tensor linear systems of the form AX = B, that contain observations potentially affected by sparse, large-magnitude corruptions.  A quantile-based randomized […]

We especially welcome all undergraduates and graduate students to attend topology seminar! Speaker: David Bachman (Pitzer College) Title: Learning optimal knot projections Abstract: We use techniques from Reinforcement Learning to find knot projections which minimize crossing number.

CCMS Colloquium invites you to the Second Barbara Beechler Lecture by Professor Deanna Needell, Professor of Mathematics, Dunn Family Endowed Chair in Data Theory Executive Director, Institute for Digital Research and Education (IDRE) at UCLA. Title: Fairness and Foundations in Machine Learning Abstract: In this talk, we will address areas of recent work centered around the […]