Upcoming Workshops & Symposia

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), 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)
Optimization Under Symmetry
Nov. 29 – Dec. 4, 2021
Program: Geometric Methods in Optimization and Sampling

Organizers:

Nisheeth Vishnoi (Yale University), 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:

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

Organizers:

Constantinos Daskalakis (Massachusetts Institute of Technology; chair), Michael Jordan (UC Berkeley), Georgios Piliouras (Singapore University of Technology and Design), Vasilis Syrgkanis (Microsoft Research)
Robust Causal Inference
Mar. 21 – Mar. 25, 2022
Program: Causality

Organizers:

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

Organizers:

Vasilis Syrgkanis (Microsoft Research; chair), Christos Papadimitriou (Columbia University), Georgios Piliouras (Singapore University of Technology and Design), 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), Michael Jordan (UC Berkeley)

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