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About
This 4-day workshop will mark the journey of learning theory from the fringes of TCS to a core topic distinguished by its many mutually rewarding interactions with other areas. It will highlight recent developments and current challenges including emerging paradigms in theoretical machine learning and the impact of techniques developed in learning theory on the theory of computing. The schedule will include discussions on trends in ML and opportunities for theory in the future of effective and safe ML. The workshop will offer an occasion to celebrate the birthday of Avrim Blum, who served as a co-director of the Scientific Advisory Board of the Simons Institute.
Chairs/Organizers
Invited Participants
Pranjal Awasthi (Google), Maria Florina Balcan (Carnegie Mellon University), Nikhil Bansal (University of Michigan), Lenore Blum (CMU), Avrim Blum (Toyota Technological Institute at Chicago), Manuel Blum (Carnegie Mellon University), Shuchi Chawla (University of Texas at Austin), Anupam Gupta (New York University), Adam Kalai (OpenAI), Adam Klivans (University of Texas, Austin), John Langford (Microsoft Research), Katrina Ligett (Hebrew University of Jerusalem), Yishay Mansour (Tel Aviv Univ and Google Research), Tom Mitchell (Carnegie Mellon University), Prabhakar Raghavan (Google), R Ravi (Carnegie Mellon University), Ronald Rivest (MIT), Aaron Roth (University of Pennsylvania), Robert Schapire (Microsoft Research), Abhishek Shetty (MIT), Nathan Srebro (Toyota Technological Institute at Chicago), Leslie Valiant (Harvard University), Santosh Vempala (Georgia Institute of Technology), Ellen Vitercik (Stanford University)