Workshops & Symposia

Randomized Numerical Linear Algebra and Applications
Sep. 24 – Sep. 27, 2018
Program: Foundations of Data Science

Organizers:

Petros Drineas (Purdue University; chair), Ken Clarkson (IBM Almaden), Prateek Jain (Microsoft Research India), Michael Mahoney (International Computer Science Institute and UC Berkeley)
Interactive Complexity
Oct. 15 – Oct. 19, 2018
Program: Lower Bounds in Computational Complexity

Organizers:

Kasper Green Larsen (Aarhus University; chair), Mark Braverman (Princeton University), Michael Saks (Rutgers University)
Robust and High-Dimensional Statistics
Oct. 29 – Nov. 2, 2018
Program: Foundations of Data Science

Organizers:

Andrea Montanari (Stanford University; chair), Emmanuel Candès (Stanford University), Ilias Diakonikolas (University of Southern California), Santosh Vempala (Georgia Institute of Technology)
Sublinear Algorithms and Nearest-Neighbor Search
Nov. 27 – Nov. 30, 2018
Program: Foundations of Data Science

Organizers:

Robert Krauthgamer (Weizmann Institute; chair), Artur Czumaj (University of Warwick), Aarti Singh (Carnegie Mellon University), Rachel Ward (University of Texas at Austin)
Algebraic Methods
Dec. 3 – Dec. 7, 2018
Program: Lower Bounds in Computational Complexity

Organizers:

Shubhangi Saraf (Rutgers University; chair), Amir Shpilka (Tel Aviv University), Madhu Sudan (Harvard University)
Bridging Continuous and Discrete Optimization Reunion
Dec. 10 – Dec. 13, 2018
Program: Bridging Continuous and Discrete Optimization
Geometry of Polynomials Boot Camp
Jan. 22 – Jan. 25, 2019
Program: Geometry of Polynomials

Organizers:

Shayan Oveis Gharan (University of Washington), Nikhil Srivastava (UC Berkeley)
Data Privacy: Foundations and Applications Boot Camp
Jan. 28 – Feb. 1, 2019
Program: Data Privacy: Foundations and Applications

Organizers:

Adam Smith (Boston University; chair), Vitaly Feldman (Google), Katrina Ligett (Hebrew University), Kobbi Nissim (Georgetown University)
Beyond Randomized Rounding and the Probabilistic Method
Feb. 11 – Feb. 15, 2019
Program: Geometry of Polynomials

Organizers:

Shayan Oveis Gharan (University of Washington; chair), Nikhil Srivastava (UC Berkeley)
From Foundations to Applications
Mar. 4 – Mar. 8, 2019
Program: Data Privacy: Foundations and Applications

Organizers:

Marco Gaboardi (SUNY Buffalo; chair), Ashwin Machanavajjhala (Duke University), Kobbi Nissim (Georgetown University), Natalie Shlomo (University of Manchester)
Deterministic Counting, Probability, and Zeros of Partition Functions
Mar. 18 – Mar. 22, 2019
Program: Geometry of Polynomials

Organizers:

Alistair Sinclair (UC Berkeley; chair), Alexander Barvinok (University of Michigan), Leonid Gurvits (City University of New York), David Wagner (University of Waterloo)
Privacy and the Science of Data Analysis
Apr. 8 – Apr. 12, 2019
Program: Data Privacy: Foundations and Applications

Organizers:

Anand Sarwate (Rutgers University; chair), Kamalika Chaudhuri (UC San Diego), Vitaly Feldman (Google), Aleksandra Slavkovic (Pennsylvania State University), Adam Smith (Boston University)
Hyperbolic Polynomials and Hyperbolic Programming
Apr. 29 – May 3, 2019
Program: Geometry of Polynomials

Organizers:

Bernd Sturmfels (UC Berkeley; chair), Michel Goemans (Massachusetts Institute of Technology), Pablo Parrilo (Massachusetts Institute of Technology), Jim Renegar (Cornell University)
Beyond Differential Privacy
May 6 – May 10, 2019
Program: Data Privacy: Foundations and Applications

Organizers:

Katrina Ligett (Hebrew University; chair), Kobbi Nissim (Georgetown University), Omer Reingold (Stanford University), Aaron Roth (University of Pennsylvania)
Deep Learning Bootcamp
May 28 – May 31, 2019
Error-Correcting Codes and High-Dimensional Expansion Bootcamp
Jul. 11 – Jul. 12, 2019
Frontiers of Deep Learning
Jul. 15 – Jul. 19, 2019
Emerging Challenges in Deep Learning
Aug. 5 – Aug. 9, 2019