« Computational Complexity Conference - CCC'19
July 18, 2019 - July 20, 2019
Location:
Rutgers Academic Building, Room 2225
Rutgers University
College Avenue Campus
15 Seminary Place
New Brunswick, NJ
Click here for map.
Organizer(s):
Eric Allender, Rutgers University
Tamra Carpenter, DIMACS
Swastik Kopparty, Rutgers University
Periklis Papakonstantinou, Rutgers University
Mike Saks, Rutgers University
Shubhangi Saraf, Rutgers University
Link to the CCC'19 main page: http://computationalcomplexity.org/
Scope
CCC aims to foster research in all areas of computational complexity theory, studying the absolute and relative power of computational models under resource constraints. Typical models include deterministic, nondeterministic, randomized, and quantum models; uniform and nonuniform models; Boolean, algebraic, and continuous models. Typical resource constraints involve time, space, randomness, program size, input queries, communication, and entanglement; worst-case as well as average case. Other, more specific, topics include: probabilistic and interactive proof systems, inapproximability, proof complexity, descriptive complexity, and complexity-theoretic aspects of cryptography and machine learning. The conference also encourages results from other areas of computer science and mathematics motivated by computational complexity theory.
History
In 1986 the first Structure in Complexity Theory Conference
was organized with the support of the US National Science Foundation. As indicated in the call for papers, the conference focused on the global aspects of computational complexity theory and the structural properties of both complexity classes and complexity-bounded reducibilities
, and became known as Structures
. From 1987 through 2014 the conference was sponsored by the IEEE Computer Society Technical Committee on Mathematical Foundations of Computing. In 1996 the conference broadened its scope to the current one, and accordingly changed its name to Annual IEEE Conference on Computational Complexity
, abbreviated as CCC
. In 2014, after a community-wide discussion and a strong movement towards independence based on a desire for open access to the proceedings, the Computational Complexity Foundation Inc. was established. Starting from 2015 the Foundation organizes the conference independently under the name Computational Complexity Conference
, maintaining the acronym CCC
.
The list of future and past conferences contains links to the websites for the individual years. Past programs and call for papers (going back to 1997) are also available there.
Videos of CCC'19 invited talks: Ran Raz Dor Minzer
Thursday, July 18, 2019
Registration and Breakfast
Limits on the Universal Method for Matrix Multiplication
Josh Alman, Massachusetts Institute of Technology
Barriers for Fast Matrix Multiplication from Irreversibility
Matthias Christandl, University of Bath
Péter Vrana, Budapest University of Technology and Economics
Jeroen Zuiddan, Institute for Advanced Study
Break
Fourier and Circulant Matrices are Not Rigid
Zeev Dvir, Princeton University
Allen Liu, University of Michigan
Typically-Correct Derandomization for Small Time and Space
William Hoza, University of Texas, Austin
A Time-Distance Trade-Off for GDD with Preprocessing---Instantiating the DLW Heuristic
Noah Stephens-Davidowitz, New York University (NYU)
Almost Optimal Distribution-Free Junta Testing
Nader Bshouty, Technion
Lunch
Average-Case Quantum Advantage with Shallow Circuits
François Le Gall, Kyoto University
Universality of EPR Pairs in Entanglement-Assisted Communication Complexity, and the Communication Cost of State Conversion
Matthew Coudron, Massachusetts Institute of Technology
Aram Harrow, Massachusetts Institute of Technology
Complexity Lower Bounds for Computing the Approximately-Commuting Operator Value of Non-Local Games to High Precision
Matthew Coudron, Massachusetts Institute of Technology
William Slofstra, University of Waterloo
Break
Equality Alone Does not Simulate Randomness
Arkadev Chattopadhyay, Tata Institute of Fundamental Research
Shachar Lovett, University of California, San Diego
Marc Vinyals, Tata Institute of Fundamental Research
Optimality of Linear Sketching under Modular Updates
Kaave Hosseini, University of California, San Diego
Shachar Lovett, University of California, San Diego
Grigory Yaroslavtsev, University of Pennsylvania
Optimal Separation and Strong Direct Sum for Randomized Query Complexity
Eric Blais, Carnegie Mellon University
Joshua Brody, Swarthmore College
Short Break
Business Meeting
Friday, July 19, 2019
Registration and Breakfast
Learning Fast Requires Good Memory: Time-Space Tradeoff Lower Bounds for Learning
Ran Raz, Princeton University
Break
Near-Optimal Pseudorandom Generators for Constant-Depth Read-Once Formulas
Dean Doron, Tel-Aviv University
Pooya Hatami, University of Chicago
William Hoza, University of Texas, Austin
Non-Malleable Extractors and Non-Malleable Codes: Partially Optimal Constructions
Xin Li, Duke University
Fourier Bounds and Pseudorandom Generators for Product Tests
Chin Ho Lee, Northeastern University
Simple and Efficient Pseudorandom Generators from Gaussian Processes
Eshan Chattopadhyay, Institute for Advanced Study
Anindya De, Northwestern University
Rocco Servedio, Columbia University
Lunch
Time-Space Lower Bounds for Two-Pass Learning
Sumegha Garg, Princeton University
Ran Raz, Princeton University
Avishay Tal, Ben Gurion University
A Fine-Grained Analogue of Schaefer’s Theorem in P: Dichotomy of Existsk-Forall-Quantified First-Order Graph Properties
Karl Bringmann, Max Planck Institute for Informatics
Nick Fischer, Lawrence Livermore National Laboratory
Marvin Künnemann, Max Planck Institute for Informatics
Counting Basic-Irreducible Factors Mod pk in deterministic poly-time and p-adic applications
Ashish Dwived, Indian Institute of Technology
Rajat Mittal, Johns Hopkins University
Nitin Saxena, Indian Institute of Technology
Break
Stronger Connections Between Circuit Analysis and Circuit Lower Bounds, via PCPs of Proximity
Lijie Chen, Massachusetts Institute of Technology
Ryan Williams, Massachusetts Institute of Technology
Relations and Equivalences Between Circuit Lower Bounds and Karp-Lipton Theorems
Lijie Chen, Massachusetts Institute of Technology
Dylan McKay, Massachusetts Institute of Technology
Cody Murray, Massachusetts Institute of Technology
Ryan Williams, Massachusetts Institute of Technology
Hardness Magnification Near State-of-the-Art Lower Bounds
Igor Carboni Oliveira, University of Oxford
Jan Pich, University of Oxford
Rahul Santhanam, University of Oxford
Short Break
Rump Session
Saturday, July 20, 2019
Registration and Breakfast
Invited Talk: On the NP-Hardness of 2-to-2 Games and Hypercontractivity
Dor Minzer, Institute for Advanced Study
Break
Sherali-Adams Strikes Back
Ryan O'Donnell, Carnegie Mellon University
Tselil Schramm, Massachusetts Institute of Technology
Size-Degree Trade-Offs for Sums-of-Squares and Positivstellensatz Proofs
Albert Atserias, Universitat Politècnica de Catalunya
Tuomas Hakoniemi, Universitat Politècnica de Catalunya
Resolution and the Binary Encoding of Combinatorial Principles
Stefan Dantchev, Durham University
Nicola Galesi, Sapienza University of Rome
Barnaby Martin, Durham University
Nullstellensatz Size-Degree Trade-offs from Reversible Pebbling
Susanna F. de Rezende, KTH Royal Institute of Technology
Or Meir, University of Haifa
Jakob Nordström, KTH Royal Institute of Technology
Robert Robere, DIMACS
Lunch
UG-hardness to NP-hardness by Losing Half
Amey Bhangale, Weizmann Institute of Science
Subhash Khot, New York University (NYU)
Imperfect Gaps in Gap-ETH and PCPs
Mitali Bafna, Harvard University
Nikhil Vyas, Massachusetts Institute of Technology
Optimal Short-Circuit Resilient Formulas
Mark Braverman, Princeton University
Klim Efremenko, University of California, Berkeley
Ran Gelles, Bar-Ilan University
Michael Yitayew, McGill University
Break
From DNF Compression to Sunflower Theorems via Regularity
Shachar Lovett, University of California, San Diego
Noam Solomon, Massachusetts Institute of Technology
Jiapeng Zhang, University of California, San Diego
Criticality of Regular Formulas
Benjamin Rossman, University of Toronto
Parity Helps to Compute Majority
Igor Carboni Oliveira, University of Oxford
Rahul Santhanam, University of Oxford
Srikanth Srinivasan, Indian Institute of Technology
End of the Conference
To register please visit the main CCC'19 page: http://computationalcomplexity.org/
The DIMACS Day of Complexity Tutorials will be held the day before (July 17, 2019) the start of the Conference.
This event is hosted by the Rutgers University Computer Science Department, Rutgers University Computer Science Department Theory of Computing along with DIMACS.
A block of rooms has been set aside at the Hyatt Regency in New Brunswick at a special rate of $149. (Note: Hotel parking is extra.) To make your reservations, please click here: Hyatt Booking Reservations. If you need additional assistance, please contact the Hyatt at 877-803-7534.
*There is no affiliation or financial interest recommending this hotel and the participants are responsible on their own for finding places according to their liking.
Sponsored by Computational Complexity Foundation, Rutgers University Department of Computer Science, in association with the Special Focus on Lower Bounds in Computational Complexity.