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Lower Bounds, Learning, and Average-Case Complexity
Program
Meta-Complexity
Date
Monday, Feb. 13
–
Friday, Feb. 17, 2023
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The Workshop
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Videos
Schedule Subject to Change; all times in PT
Eric Allender's Day
Monday, Feb. 13, 2023
9
–
9:25 a.m.
Coffee and Check In
9:25
–
9:30 a.m.
Opening Remarks
9:30
–
10:15 a.m.
A Commentary on the Collision of Worlds
Rahul Santhanam (Oxford)
10:15
–
10:30 a.m.
Break
10:30
–
11:15 a.m.
Allender's Conjecture and its Impacts on Meta-Complexity
Shuichi Hirahara (National Institute of Informatics)
11:15
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
NP-Hardness of Approximating Meta-Complexity: A Cryptographic Approach
Rahul Ilango (MIT)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Improved Learning from Time-bounded Kolmogorov Complexity
Halley Goldberg (Simon Fraser University)
3
–
3:25 p.m.
Break
3:25
–
4:10 p.m.
Journey with Eric Allender: From Turing Machines to Circuits, and Back
Michal Koucky (Charles University)
4:10
–
4:30 p.m.
How to Cheat at “Who Wants to Be a Millionaire?” (and Show Non-Hardness of GapMCSP)
Neekon Vafa (MIT)
4:30
–
5:30 p.m.
Reception
Tuesday, Feb. 14, 2023
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:15 a.m.
The Mystery of the Missing String
Ryan Williams (MIT)
10:15
–
10:30 a.m.
Break
10:30
–
11:15 a.m.
A Combinatorial Characterization of Minimax in 0/1 Games
Shay Moran (Technion)
11:15
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Replicability in Learning
Jessica Sorrell (UCSD)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Range Avoidance, Remote Point, and Hard Partial Truth Table via Satisfying-Pairs Algorithms
Hanlin Ren (University of Oxford)
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
Quantum Learning Algorithms Imply Circuit Lower Bounds
Alex Grilo (CNRS/Sorbonne Université)
Wednesday, Feb. 15, 2023
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:15 a.m.
Learning Versus Pseudorandom Generators in Constant Parallel Time
Mikito Nanashima (Tokyo Institute of Technology)
10:15
–
10:30 a.m.
Break
10:30
–
11:15 a.m.
A Duality Between One-Way Functions and Average-Case Symmetry of Information
Zhenjian Lu (University of Oxford)
11:15
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Quantum Meets Minimum Circuit Size Problem
Nai-Hui Chia (Rice University)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Learning Safe Action Models
Brendan Juba (Washington University in St. Louis)
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
New Lower Bounds and Derandomization for ACC, and a Derandomization-centric View on the Algorithmic Method
Lijie Chen (MIT)
Thursday, Feb. 16, 2023
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:15 a.m.
Succinct Neural Networks
Adam Kalai (Microsoft Research)
10:15
–
10:30 a.m.
Break
10:30
–
11:15 a.m.
New Approaches to Heuristic Pac-learning vs. PRFs
Ari Karchmer (Boston University)
11:15
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
On the Average-case Complexity of the Nearest Boolean Vector to a Subspace
Andrej Bogdanov (University of Ottawa)
12:15
–
2:15 p.m.
Lunch
2:15
–
3:15 p.m.
Average-case Complexity for Polynomials, and All That
Emanuele Viola (Northeastern University)
3:15
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
On Low End Obfuscation and Learning
Gal Yehuda (Technion)
Friday, Feb. 17, 2023
9
–
9:30 a.m.
Coffee and Check In
9:30
–
10:15 a.m.
Cryptography from Sublinear-Time Average-Case Hardness of Time-Bounded Kolmogorov Complexity
Yanyi Liu (Cornell)
10:15
–
10:30 a.m.
Break
10:30
–
11:15 a.m.
What (Doesn't) Make Learning Algorithms Generalize?
Roi Livni (Tel Aviv University)
11:15
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Learning with Distributional Inverters
Marco Carmosino (IBM Research)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Unstructured Hardness to Average-Case Randomness
Roei Tell (Institute for Advanced Study)
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