Technical Program

Session Detail

Session Title FR1.R1: Function Approximation and Learning
Session Time Friday, 12 July, 09:50 - 11:10
Location Le Théatre (Parterre), Level -1
Session ChairAnkit Singh Rawat, Massachusetts Institute of Technology

FR1.R1.1: Fitting ReLUs via SGD and Quantized SGD
 Click here to download the manuscript
         Seyed Mohammadreza Mousavi Kalan; University of Southern California
         Mahdi Soltanolkotabi; University of Southern California
         Amir Salman Avestimehr; University of Southern California

FR1.R1.2: On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning
 Click here to download the manuscript
         Shao-Lun Huang; Tsinghua-Berkeley Shenzhen Institute
         Xiangxiang Xu; Tsinghua University

FR1.R1.3: A Tunable Loss Function for Binary Classification
 Click here to download the manuscript
         Tyler Sypherd; Arizona State University
         Mario Diaz; Arizona State University, United States and Centro de Investigación en Matemáticas A.C.
         Lalitha Sankar; Arizona State University
         Peter Kairouz; Google