Upcoming Workshops & Symposia

Computational Complexity of Statistical Inference Boot Camp
Aug. 23 – Aug. 27, 2021
Program: Computational Complexity of Statistical Inference

Organizers:

Guy Bresler (Massachusetts Institute of Technology; chair), Adam Klivans (University of Texas, Austin), Gábor Lugosi (Pompeu Fabra University), Ankur Moitra (Massachusetts Institute of Technology), Prasad Raghavendra (UC Berkeley), Tselil Schramm (Stanford University), Yihong Wu (Yale University)
Geometric Methods in Optimization and Sampling Boot Camp
Aug. 30 – Sep. 3, 2021
Program: Geometric Methods in Optimization and Sampling

Organizers:

Philippe Rigollet (Massachusetts Institute of Technology; chair), Katy Craig (UC Santa Barbara), Simone Di Marino (University of Genova), Nisheeth Vishnoi (Yale University), Martin Wainwright (UC Berkeley)
Rigorous Evidence for Information-Computation Trade-offs
Sep. 13 – Sep. 17, 2021
Program: Computational Complexity of Statistical Inference

Organizers:

Sam Hopkins (UC Berkeley; co-chair), Lenka Zdeborová (EPFL, Switzerland; co-chair), Afonso Bandeira (ETH Zürich)
Sampling Algorithms and Geometries on Probability Distributions
Sep. 27 – Oct. 1, 2021
Program: Geometric Methods in Optimization and Sampling

Organizers:

Jelena Diakonikolas (University of Wisconsin, Madison; chair), Philippe Rigollet (Massachusetts Institute of Technology), Santosh Vempala (Georgia Institute of Technology)
Algorithmic Advances for Statistical Inference with Combinatorial Structure
Oct. 11 – Oct. 15, 2021
Program: Computational Complexity of Statistical Inference

Organizers:

Laurent Massoulie (Microsoft Research-INRIA Joint Centre; chair), Po-Ling Loh (University of Wisconsin, Madison), Jiaming Xu (Duke University)
Dynamics and Discretization: PDEs, Sampling, and Optimization
Oct. 25 – Oct. 29, 2021
Program: Geometric Methods in Optimization and Sampling

Organizers:

Katy Craig (UC Santa Barbara; chair), Simone Di Marino (University of Genova)
Average-Case Complexity: From Cryptography to Statistical Learning
Nov. 8 – Nov. 12, 2021
Program: Computational Complexity of Statistical Inference

Organizers:

Luca Trevisan (Bocconi University; chair), Boaz Barak (Harvard University), Amit Daniely (Google Research), Tselil Schramm (Stanford University), Rocco Servedio (Columbia University), Vinod Vaikuntanathan (Massachusetts Institute of Technology)
Optimization Under Symmetry
Nov. 29 – Dec. 3, 2021
Program: Geometric Methods in Optimization and Sampling

Organizers:

Nisheeth Vishnoi (Yale University; chair), Michael Walter (University of Amsterdam and QuSoft), Ashia Wilson (MIT)
Causality Boot Camp
Jan. 17 – Jan. 21, 2022
Program: Causality

Organizers:

Frederick Eberhardt (Caltech; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Marloes Maathuis (ETH Zürich), Thomas Richardson (University of Washington), Leonard Schulman (Caltech), Vasilis Syrgkanis (Microsoft Research), Caroline Uhler (Massachusetts Institute of Technology)
Learning and Games Boot Camp
Jan. 24 – Jan. 28, 2022
Program: Learning and Games

Organizers:

Vasilis Syrgkanis (Microsoft Research; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Dylan Foster (Massachusetts Institute of Technology), Michael Jordan (UC Berkeley), Christos Papadimitriou (Columbia University), Georgios Piliouras (Singapore University of Technology and Design), Éva Tardos (Cornell University)
Learning from Interventions
Feb. 14 – Feb. 18, 2022
Program: Causality

Organizers:

Caroline Uhler (Massachusetts Institute of Technology; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Frederick Eberhardt (Caltech)
Adversarial Approaches in Machine Learning
Feb. 22 – Feb. 25, 2022
Program: Learning and Games

Organizers:

Constantinos Daskalakis (Massachusetts Institute of Technology; chair), Niao He (ETH Zürich), Michael Jordan (UC Berkeley), Asu Özdağlar (Massachusetts Institute of Technology), Georgios Piliouras (Singapore University of Technology and Design), Vasilis Syrgkanis (Microsoft Research)
Data Privacy: Foundations and Applications Reunion
Mar. 14 – Mar. 18, 2022
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)
Robust Causal Inference
Mar. 21 – Mar. 25, 2022
Program: Causality

Organizers:

Raghu Meka (UCLA; co-chair), Leonard Schulman (Caltech; co-chair), Marloes Maathuis (ETH Zürich), Caroline Uhler (Massachusetts Institute of Technology)
Learning in the Presence of Strategic Behavior
Mar. 28 – Apr. 1, 2022
Program: Learning and Games

Organizers:

Georgios Piliouras (Singapore University of Technology and Design; chair), Fei Fang (Carnegie Mellon University), Nika Haghtalab (UC Berkeley), Christos Papadimitriou (Columbia University), Vasilis Syrgkanis (Microsoft Research), Éva Tardos (Cornell University)
Quantum Physics and Statistical Causal Models
Apr. 25 – Apr. 29, 2022
Program: Causality

Organizers:

Thomas Richardson (University of Washington; chair), Frederick Eberhardt (Caltech)
Multi-Agent Reinforcement Learning and Bandit Learning
May 2 – May 6, 2022
Program: Learning and Games

Organizers:

Dylan Foster (Massachusetts Institute of Technology; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Katja Hofmann (Microsoft Research), Michael Jordan (UC Berkeley), Mengdi Wang (Princeton University)
Statistics in the Big Data Era
Jun. 1 – Jun. 3, 2022

Organizers:
From Algorithms to Discovery in Genome-Scale Biology and Medicine
Jul. 5 – Jul. 8, 2022
Program: Computational Innovation and Data-Driven Biology

Organizers:

Nadav Ahituv (UCSF; co-chair), Roded Sharan (Tel Aviv University; co-chair), Steven Brenner (UC Berkeley & UCSF), Ron Shamir (Tel Aviv University), Yun S. Song (UC Berkeley), Olga Troyanskaya (Princeton University)
Computational Challenges in Very Large-Scale "Omics"
Jul. 18 – Jul. 21, 2022
Program: Computational Innovation and Data-Driven Biology

Organizers:

Roderic Guigo Serra (Center for Genomic Regulation; chair), Steven Brenner (UC Berkeley & UCSF), Sandrine Dudoit (UC Berkeley), Tal Pupko (Tel Aviv University), Ron Shamir (Tel Aviv University)

Pages