Past Workshops & Symposia

Hierarchies, Extended Formulations and Matrix-Analytic Techniques
Nov. 6 – Nov. 9, 2017
Program: Bridging Continuous and Discrete Optimization

Organizers:

Prasad Raghavendra (UC Berkeley; chair), Nick Harvey (University of British Columbia), Pablo Parrilo (Massachusetts Institute of Technology), Sebastian Pokutta (Georgia Institute of Technology), Cynthia Vinzant (North Carolina State University)
Robotics and Optimization Symposium
Nov. 3, 2017
Program: Bridging Continuous and Discrete Optimization

Organizers:

Benjamin Recht (UC Berkeley)
Safe Machine Learning Workshop
Oct. 19 – Oct. 20, 2017

Organizers:

Hava Siegelmann (DARPA; chair), Peter Bartlett (UC Berkeley), Shafi Goldwasser (MIT), Moritz Hardt (UC Berkeley), Dawn Song (UC Berkeley)
IEEE Symposium on Foundations of Computer Science (FOCS)
Oct. 15 – Oct. 17, 2017
Fast Iterative Methods in Optimization
Oct. 2 – Oct. 6, 2017
Program: Bridging Continuous and Discrete Optimization

Organizers:

Alexandr Andoni (Columbia University; chair), Maryam Fazel (University of Washington), Aleksander Mądry (Massachusetts Institute of Technology), Lorenzo Orecchia (Boston University), Benjamin Recht (UC Berkeley), Yinyu Ye (Stanford University)
Discrete Optimization via Continuous Relaxation
Sep. 11 – Sep. 15, 2017
Program: Bridging Continuous and Discrete Optimization

Organizers:

Chandra Chekuri (University of Illinois, Urbana-Champaign; chair), Nikhil Bansal (Technische Universiteit Eindhoven), Seffi Naor (Technion Israel Institute of Technology), Mohit Singh (Georgia Institute of Technology)
Bridging Continuous and Discrete Optimization Boot Camp
Aug. 21 – Aug. 25, 2017
Program: Bridging Continuous and Discrete Optimization

Organizers:

Nikhil Bansal (Technische Universiteit Eindhoven), Pablo Parrilo (Massachusetts Institute of Technology), Benjamin Recht (UC Berkeley)
Algorithmic Challenges in Genomics Reunion
Jun. 27 – Jun. 30, 2017
Program: Algorithmic Challenges in Genomics

Organizers:

Ron Shamir (Tel Aviv University; chair), Teresa Przytycka (National Center for Biotechnology Information), Roded Sharan (Tel Aviv University), Martin Vingron (Max Planck Institute for Molecular Genetics)
Counting Complexity and Phase Transitions Reunion
Jun. 5 – Jun. 8, 2017
Program: Counting Complexity and Phase Transitions

Organizers:

Jin-Yi Cai (University of Wisconsin-Madison; co-chair), Martin Dyer (University of Leeds; co-chair), Andrei Bulatov (Simon Fraser University), Xi Chen (Columbia University), Allan Sly (UC Berkeley)
Data Privacy: Planning Workshop
May 22 – May 24, 2017

Organizers:

Vitaly Feldman (IBM Research), Katrina Ligett (Hebrew University and Caltech), Kobbi Nissim (Georgetown University), Adam Smith (Boston University)
Computational Challenges in Machine Learning
May 1 – May 5, 2017
Program: Foundations of Machine Learning

Organizers:

Santosh Vempala (Georgia Institute of Technology; chair), David Blei (Columbia University), Katherine Heller (Duke University), John Langford (Microsoft Research), Le Song (Georgia Institute of Technology)
Economics and Computation Reunion
Apr. 27 – Apr. 28, 2017
Program: Economics and Computation

Organizers:

Shaddin Dughmi (University of Southern California), Christos Papadimitriou (UC Berkeley), Tim Roughgarden (Stanford University), Matt Weinberg (Princeton University; Microsoft Research Fellow)
Structure vs. Randomness
Apr. 10 – Apr. 14, 2017
Program: Pseudorandomness

Organizers:

Madhur Tulsiani (Toyota Technological Institute at Chicago; chair), Jacob Fox (Stanford University), Shachar Lovett (UC San Diego), Tom Sanders (University of Oxford)
Representation Learning
Mar. 27 – Mar. 31, 2017
Program: Foundations of Machine Learning

Organizers:

Sham Kakade (University of Washington; chair), Sanjeev Arora (Princeton University), Kristen Grauman (University of Texas at Austin), Ruslan Salakhutdinov (University of Toronto), Noah Smith (University of Washington)
Proving and Using Pseudorandomness
Mar. 6 – Mar. 10, 2017
Program: Pseudorandomness

Organizers:

Raghu Meka (UCLA; chair), David Conlon (University of Oxford), Russell Impagliazzo (UC San Diego), Luca Trevisan (Simons Institute, UC Berkeley)
Interactive Learning
Feb. 13 – Feb. 17, 2017
Program: Foundations of Machine Learning

Organizers:

Nina Balcan (Carnegie Mellon University; chair), Emma Brunskill (Carnegie Mellon University), Robert Nowak (University of Wisconsin-Madison), Andrea Thomaz (University of Texas, Austin)
Expanders and Extractors
Jan. 30 – Feb. 3, 2017
Program: Pseudorandomness

Organizers:

Noga Alon (Tel Aviv University; chair), Ben Green (University of Oxford), Peter Sarnak (Princeton University), David Zuckerman (University of Texas, Austin)
Foundations of Machine Learning Boot Camp
Jan. 23 – Jan. 27, 2017
Program: Foundations of Machine Learning

Organizers:

Sanjeev Arora (Princeton University), Nina Balcan (Carnegie Mellon University), Peter Bartlett (UC Berkeley), Sanjoy Dasgupta (UC San Diego), Sham Kakade (University of Washington), Santosh Vempala (Georgia Institute of Technology)
Pseudorandomness Boot Camp
Jan. 17 – Jan. 20, 2017
Program: Pseudorandomness

Organizers:

Jacob Fox (Stanford University), Ben Green (University of Oxford), Russell Impagliazzo (UC San Diego), Luca Trevisan (Simons Institute, UC Berkeley), Julia Wolf (University of Bristol), David Zuckerman (University of Texas, Austin)
Fine-Grained Complexity and Algorithm Design Reunion
Dec. 12 – Dec. 15, 2016
Program: Fine-Grained Complexity and Algorithm Design

Organizers:

Russell Impagliazzo (UC San Diego), Dániel Marx (Hungarian Academy of Sciences), Mohan Paturi (UC San Diego), Ryan Williams (Stanford University), Virginia Vassilevska Williams (Stanford University)

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