This workshop is being live streamed on our website. Full participation (including the capacity to ask questions) will be available via Zoom webinar. 

All talk times are in Pacific Time. 

–
Welcome Remarks
–
Crash Course on Probabilistically Checkable Proofs (PCP): Introduction
Irit Dinur, Weizmann Institute
–
Break
–
Remarks on the Discrete Cube
Ramon van Handel, Princeton University
–
Introductions
–
Crash Course on Probabilistically Checkable Proofs (PCP): A Self-Contained Proof of a Weak PCP Theorem (Exponential-Sized)
Dana Moshkovitz, University of Texas at Austin
–
Break
–
Remarks on the Discrete Cube
Ramon van Handel, Princeton University
–
Introductions
–
Crash Course on Probabilistically Checkable Proofs (PCP): Parallel Repetition
Irit Dinur, Weizmann Institute
–
Break
–
Remarks on the Discrete Cube
Ramon van Handel, Princeton University
–
Break
–
Sketching High-Dimensional Data
Jelani Nelson, UC Berkeley
–
Introductions
–
Crash Course on Probabilistically Checkable Proofs (PCP): Optimal Inapproximability Results
Dana Moshkovitz, University of Texas at Austin
–
Break
–
Remarks on the Discrete Cube
Ramon van Handel, Princeton University
–
Break
–
Sketching High-Dimensional Data
Jelani Nelson, UC Berkeley
–
Introductions
–
Statistical Physics and Computation in High Dimension
Florent Krzakala, ENS, Lenka Zdeborova, CEA Saclay
–
Break
–
Recent Progress in High-Dimensional Learning
Ankur Moitra, MIT
–
Break
–
Sketching High-Dimensional Data
Jelani Nelson, UC Berkeley
–
Introductions
–
Statistical Physics and Computation in High Dimension
Florent Krzakala, ENS, Lenka Zdeborova, CEA Saclay
–
Break
–
Recent Progress in High-Dimensional Learning
Ankur Moitra, MIT
–
Break
–
Sketching High-Dimensional Data
Jelani Nelson, UC Berkeley
–
Introductions
–
Statistical Physics and Computation in High Dimension
Florent Krzakala, ENS, Lenka Zdeborova, CEA Saclay
–
Break
–
Recent Progress in High-Dimensional Learning
Ankur Moitra, MIT
–
Reception
–
Introductions
–
Statistical Physics and Computation in High Dimension
Florent Krzakala, ENS, Lenka Zdeborova, CEA Saclay
–
Break
–
Recent Progress in High-Dimensional Learning
Ankur Moitra, MIT