Workshops
Summer 2019

Frontiers of Deep Learning

Jul. 15Jul. 19, 2019

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Organizers:

Aleksander Mądry (Massachusetts Institute of Technology; chair), Samy Bengio (Google), Tengyu Ma (Stanford University)

This workshop will feature an in-depth and comprehensive overview of the core challenges in the theory and practice of deep learning, with a particular emphasis on the four themes of the program: optimization, generalization, robustness, and generative methods. The aim is to expose the attendees to the current frontier of deep learning research, including presenting the "hot off the press" progress made by program participants, industry visitors, and other invited guests.

All events take place in the Calvin Lab auditorium.

Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers workshop-dl1 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).

Registration is required to attend this workshop. Space may be limited, and you are advised to register early. To submit your name for consideration, please register and await confirmation of your acceptance before booking your travel.

Invited Participants: 

Yossi Arjevani (Weizmann Institute of Science), Raman Arora (Johns Hopkins University), Yasaman Bahri (Google Brain), Yu Bai (Stanford University), Bolton Bailey (University of Illinois Urbana-Champaign), Richard Baraniuk (Rice University), Peter Bartlett (UC Berkeley), Misha Belkin (Ohio State University), Shai Ben-David (University of Waterloo), Emma Brunskill (Stanford University), Nicholas Carlini (Google Brain), Konstantinos Daskalakis (MIT), Alex Dimakis (University of Texas at Austin), Alyosha Efros (UC Berkeley), Laurent El Ghaoui (UC Berkeley), Soheil Feizi (University of Maryland, College Park), Dylan Foster (Massachusetts Institute of Technology (MIT)), Ruiqi Gao (University of Southern California), Rong Ge (Duke University), Surbhi Goel (University of Texas at Austin), Quanquan Gu (University of California, Los Angeles), Suriya Gunasekar (Toyota Technology Institute, Chicago), Boris Hanin (Texas A&M), Moritz Hardt (UC Berkeley), Daniel Hsu (Columbia University), Ruhui Jin (University of Texas at Austin), Varun Jog (University of Wisconsin, Madison), Mike Jordan (UC Berkeley), Pritish Kamath (Massachusetts Institute of Technology), Stefani Karp (Carnegie Mellon University), Adam Klivans (University of Texas at Austin), Zico Kolter (CMU Bosch), Tomer Koren (Google Research), Jason Lee (University of Southern California), Qi Lei (University of Texas at Austin), Yuanzhi Li (Stanford University), Michael Mahoney (International Computer Science Institute and UC Berkeley), Nimrod Meggido (IBM Almaden Research Center), Ofer Meshi (Google), Omar Montasser (TTI-Chicago), Elchanan Mossel (Massachusetts Institute of Technology), Behnam Neyshabur (New York University), Quynh Nguyen (Saarland University), Adit Radhakrishnan (MIT), Maithra Raghu (Google Brain), Ali Rahimi (Google), Sujit Rao (Massachusetts Institute of Technology (MIT)), Andrej Risteski (Massachusetts Institute of Technology (MIT)), Daniel Roy (University of Toronto), Gintare Karolina Dziugaite (University of Cambridge), Sushant Sachdeva (University of Toronto), Anant Sahai (UC Berkeley), Colin Sandon (Massachusetts Institute of Technology), Peter Sarnak (IAS), Dana Scott (UC Berkeley), Hanie Sedghi (Google Brain), Yaron Singer (Harvard University), Aarti Singh (Carnegie Mellon University), Jascha Sohl-Dickstein (Google Brain), Mahdi Soltanolkotabi (University of Southern California), Dawn Song (UC Berkeley), Daniel Soudry (Technion - Israel Institute of Technology), Nati Srebro Bartom (Toyota Technological Institute at Chicago), Nike Sun (Massachusetts Institute of Technology), Rene Vidal (Johns Hopkins University), Nisheeth Vishnoi (Yale University), Kiran Vodrahalli (Columbia University), Martin Wainwright (UC Berkeley), Rachel Ward (University of Texas at Austin), Colin Wei (Stanford University), Shirley Wu (University of Texas at Austin), Ruicheng Xian (University of Illinois Urbana-Champaign), Bin Yu (UC Berkeley), Laura Zaremba (Groq)