Matrix and Tensor Estimation in Action
Matrix and Tensor Estimation in Action

Abstract: 

In this workshop, we will provide an overview of techniques for matrix and tensor estimation. We will showcase a wide variety of applications for matrix estimation in analyzing large heterogeneous datasets that may have missing or incorrect entries, including retail, causal inference, sports and networks. These applications will form the basis for some practical demos with opportunities for hands-on experience. Subsequently we will explain the intuition for matrix and tensor estimation algorithms, with a focus on collaborative filtering.

Bio: 

Muhammad Jehangir Amjad is a Software Engineer in the Network Infrastructure team at Google. He joined Google from MIT where he has an appointment as a Lecturer of Machine Learning in CSAIL. Jehangir received his PhD from the Operations Research Center (ORC) and Laboratory of Information and Decision Systems (LIDS) at MIT, under the supervision of Prof Devavrat Shah. He received his BSE in Electrical Engineering from Princeton University.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google