IFDS Ideas Forum: Shi Chen
2021-04-26 13:30 - 14:00 (America/Chicago) | Webex
Title:
Abstract:
Shi Chen (Mathematics), advised by Qin Li (Mathematics) and Stephen J. Wright (Computer Science), works on problems in the interdisciplinary area of applied math and machine learning. He is interested in connecting machine learning to various mathematical physics problems, including the homogenization of PDEs and inverse problems. His recent work focuses on applying deep learning to PDE inverse problems.

IFDS Ideas Forum: Shashank Rajput
2021-04-26 14:00 - 14:30
Title:
Abstract:
Shashank Rajput (Computer Science), advised by Dimitris Papailiopoulos (Electrical and Computer Engineering), Kangwook Lee (Electrical and Computer Engineering) and Stephen Wright (Computer Science), works on problems in distributed machine learning and optimization. He works on developing techniques which are fast and scalable for practical use, and have theoretical guarantees. Currently, he is working on finding better shuffling mechanisms that beat random reshuffling as well as developing algorithms for training neural networks by only pruning them.
