Past Workshops & Symposia

Computational Complexity of Statistical Inference Reunion
Monday, Dec. 12–Wednesday, Dec. 14, 2022
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)
The Economics of Networks
Tuesday, Nov. 29–Thursday, Dec. 1, 2022
Program: Graph Limits and Processes on Networks: From Epidemics to Misinformation

Organizers:

Alex Slivkins (Microsoft Research; chair), Ben Golub (Northwestern University), Nicole Immorlica (Microsoft Research), Azarakhsh Malekian (University of Toronto)
Societal Considerations and Applications
Monday, Nov. 7–Thursday, Nov. 10, 2022
Program: Data-Driven Decision Processes

Organizers:

Shuchi Chawla (UT Austin; chair), Rachel Cummings (Columbia University), Irene Lo (Stanford University)
Epidemics and Information Diffusion
Monday, Oct. 24–Friday, Oct. 28, 2022
Program: Graph Limits and Processes on Networks: From Epidemics to Misinformation

Organizers:

Abba Gumel (University of Maryland, College Park; co-chair), Malwina Luczak (University of Melbourne; co-chair), Mohammad Akbarpour (Stanford University), Amin Saberi (Stanford University), Alessandro Vespignani (Northeastern University)
Structure of Constraints in Sequential Decision-Making
Monday, Oct. 10–Friday, Oct. 14, 2022
Program: Data-Driven Decision Processes

Organizers:

Shipra Agrawal (Columbia University; chair), Balasubramanian Sivan (Google Research NYC)
Joint IFML/Data-Driven Decision Processes Workshop
Wednesday, Oct. 5–Friday, Oct. 7, 2022
Program: Data-Driven Decision Processes

Organizers:

Shuchi Chawla (UT Austin), Adam Klivans (IFML), Sanjay Shakkottai (IFML)
Graph Limits, Nonparametric Models, and Estimation
Monday, Sep. 26–Friday, Sep. 30, 2022
Program: Graph Limits and Processes on Networks: From Epidemics to Misinformation

Organizers:

Souvik Dhara (Massachusetts Institute of Technology; chair), Christian Borgs (UC Berkeley), Sofia Olhede (University College London), Remco van der Hofstad (Eindhoven University of Technology)
Quantifying Uncertainty: Stochastic, Adversarial, and Beyond
Monday, Sep. 12–Friday, Sep. 16, 2022
Program: Data-Driven Decision Processes

Organizers:

Thodoris Lykouris (MIT; chair), Laura Doval (Columbia University), Kevin Jamieson (University of Washington)
Meet the Fellows Welcome Event Fall 2022
Thursday, Sep. 8–Friday, Sep. 9, 2022
Program: Data-Driven Decision Processes, Graph Limits and Processes on Networks: From Epidemics to Misinformation
Graph Limits and Processes on Networks: From Epidemics to Misinformation Boot Camp
Monday, Aug. 29–Friday, Sep. 2, 2022
Program: Graph Limits and Processes on Networks: From Epidemics to Misinformation

Organizers:

Christian Borgs (UC Berkeley; chair), Jennifer Chayes (UC Berkeley), Nicole Immorlica (Microsoft Research), Amin Saberi (Stanford University)
Data-Driven Decision Processes Boot Camp
Monday, Aug. 22–Friday, Aug. 26, 2022
Program: Data-Driven Decision Processes

Organizers:

Siddhartha Banerjee (Cornell University), Nika Haghtalab (UC Berkeley), Adam Wierman (Caltech)
Deep Learning Theory Workshop and Summer School
Monday, Aug. 1–Friday, Aug. 5, 2022
Program: Summer Cluster: Deep Learning Theory

Organizers:

Nati Srebro (Toyota Technological Institute at Chicago; chair), Spencer Frei (UC Berkeley), Suriya Gunasekar (Toyota Technological Institute at Chicago), Preetum Nakkiran (Apple & UC San Diego), Youngtak Sohn (Massachusetts Institute of Technology)
Computational Challenges in Very Large-Scale 'Omics'
Monday, Jul. 18–Thursday, Jul. 21, 2022
Program: Computational Innovation and Data-Driven Biology

Organizers:

Roderic Guigó (Center for Genomic Regulation; chair), Steven Brenner (UC Berkeley & UCSF), Sandrine Dudoit (UC Berkeley), Tal Pupko (Tel Aviv University), Ron Shamir (Tel Aviv University)
AI and Humanity
Wednesday, Jul. 13–Friday, Jul. 15, 2022
Program: Summer Cluster: AI and Humanity

Organizers:

Thomas Krendl Gilbert (Cornell University), Jake Goldenfein (University of Melbourne), Helen Nissenbaum (Cornell University), Connal Parsley (University of Kent), Qian Yang (Cornell University)
From Algorithms to Discovery in Genome-Scale Biology and Medicine
Tuesday, Jul. 5–Friday, 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)
Interpretable Machine Learning in Natural and Social Sciences
Tuesday, Jun. 28–Thursday, Jun. 30, 2022
Program: Summer Cluster: Interpretable Machine Learning

Organizers:

Zachary Lipton (Carnegie Mellon University; co-chair), Bin Yu (UC Berkeley; co-chair), Himabindu Lakkaraju (Harvard University), David Madigan (Columbia University), Deirdre Mulligan (UC Berkeley)
Satisfiability: Theory, Practice, and Beyond Reunion
Tuesday, Jun. 14–Friday, Jun. 17, 2022
Program: Satisfiability: Theory, Practice, and Beyond

Organizers:

Albert Atserias (Universitat Politècnica de Catalunya; chair), Sam Buss (UC San Diego), Vijay Ganesh (University of Waterloo), Antonina Kolokolova (Memorial University of Newfoundland), Jakob Nordström (University of Copenhagen & Lund University)
Quantum and Lattices Joint Reunion Workshop
Monday, Jun. 13–Friday, Jun. 17, 2022
Program: Extended Reunion: The Quantum Wave in Computing, Summer Cluster: Lattices and Beyond

Organizers:

Shafi Goldwasser (UC Berkeley), Urmila Mahadev (California Institute of Technology), Vinod Vaikuntanathan (Massachusetts Institute of Technology), Umesh Vazirani (UC Berkeley), Henry Yuen (Columbia University)
Women in Theory 2022
Tuesday, Jun. 7–Friday, Jun. 10, 2022

Organizers:

Tal Rabin (Algorand Foundation), Shubhangi Saraf (University of Toronto), Lisa Zhang (Bell Labs)
Statistics in the Big Data Era
Wednesday, Jun. 1–Friday, Jun. 3, 2022

Organizers:

Haiyan Huang (University of Berkeley, California; co-chair), Liza Levina (University of Michigan; co-chair), Peter Bühlmann (ETH Zürich), Peng Ding (University of California, Berkeley), Jianqing Fan (Princeton University), Katerina Kechris (University of Colorado Anschutz Medical Campus), Ya'acov Ritov (University of Michigan)

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