Upcoming Workshops & Symposia

Interpretable Machine Learning in Natural and Social Sciences
Jun. 29 – Jul. 2, 2020
Program: Summer Cluster: Interpretable Machine Learning
Algorithm Design, Law, and Policy
Jul. 20 – Jul. 21, 2020

Organizers:

Inbal Talgam-Cohen (Technion - Israel Institute of Technology; chair), Niva Elkin-Koren (University of Haifa), Michal Feldman (Tel Aviv University), Shafi Goldwasser (Simons Institute, UC Berkeley)
Decoding Communication in Non-Human Species
Aug. 3 – Aug. 4, 2020

Organizers:

Michael Bronstein (Imperial College London), Shafi Goldwasser (Simons Institute, UC Berkeley), David Gruber (City University of New York)
Deep Learning Reunion
Aug. 10 – Aug. 14, 2020
Program: Foundations of Deep Learning
Probability, Geometry, and Computation in High Dimensions Boot Camp
Aug. 24 – Aug. 28, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Theory of Reinforcement Learning Boot Camp
Aug. 31 – Sep. 4, 2020
Program: Theory of Reinforcement Learning
Geometry of Polynomials Reunion
Sep. 8 – Sep. 11, 2020
Program: Geometry of Polynomials

Organizers:

Shayan Oveis Gharan (University of Washington; co-chair), Nikhil Srivastava (UC Berkeley; co-chair), Leonid Gurvits (City University of New York), Pablo Parrilo (Massachusetts Institute of Technology), Alistair Sinclair (UC Berkeley)
Data Privacy: Foundations and Applications Reunion
Sep. 14 – Sep. 17, 2020
Program: Data Privacy: Foundations and Applications

Organizers:

Adam Smith (Boston University; chair), Vitaly Feldman (Google), Katrina Ligett (Hebrew University), Kobbi Nissim (Georgetown University), Aleksandra Slavkovic (Pennsylvania State University)
Computational Phase Transitions
Sep. 21 – Sep. 25, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Deep Reinforcement Learning
Sep. 28 – Oct. 2, 2020
Program: Theory of Reinforcement Learning
Concentration of Measure Phenomena
Oct. 19 – Oct. 23, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Mathematics of Online Decision Making
Oct. 26 – Oct. 30, 2020
Program: Theory of Reinforcement Learning
Learning and Testing in High Dimensions
Nov. 16 – Nov. 20, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Reinforcement Learning from Batch Data and Simulation
Nov. 30 – Dec. 4, 2020
Program: Theory of Reinforcement Learning
Theoretical Foundations of Computer Systems Boot Camp
Jan. 25 – Jan. 29, 2021
Program: Theoretical Foundations of Computer Systems
Satisfiability: Theory, Practice, and Beyond Boot Camp
Feb. 1 – Feb. 5, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Theoretical Foundations of SAT/SMT Solving
Feb. 22 – Feb. 26, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
Beyond Satisfiability
Mar. 15 – Mar. 19, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Synthesis of Models and Systems
Mar. 22 – Mar. 25, 2021
Program: Theoretical Foundations of Computer Systems
50 Years of Satisfiability: The Centrality of SAT in the Theory of Computing
Apr. 12 – Apr. 16, 2021
Program: Satisfiability: Theory, Practice, and Beyond

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