CCC'19 Program
Schedule: Except for the first, the slots for contributed
talks are 30 minutes long, and include five minutes for questions and
changing speakers. The first slot on Thursday is shared by two
contributed papers and is one hour long, including the time for questions.
There are invited talks on Friday and Saturday, 9:00–10:00. There is also a reception on Wednesday at 19:30, a business meeting on Thursday at 17:45, and a rump session on Friday at 17:45. Light breakfast is provided; lunch and dinner are on your own.
Venue: All activities except the reception take
place at the Rutgers University College Avenue Campus, Rutgers Academic Building, Room 2225, 15 Seminary Place, New Brunswick, NJ. The reception takes place at Panico's, 94 Church Street, New Brunswick, NJ.
Slides and Videos:
Click the word "slides" in the program to see the presentations
that the authors agreed to post on this website. Videos of the invited talks can be viewed by clicking on the word "video".
Proceedings:
The official version is openly accessible via
LIPIcs.
Wednesday, July 17
19:30–22:00 | Opening Reception |
Thursday, July 18
Friday, July 19
8:30 | Breakfast |
9:00 |
Invited Talk
Learning Fast Requires Good Memory: Time-Space Tradeoff Lower Bounds for Learning
(abstract, slides, video)
Ran Raz
Can one prove unconditional lower bounds on the number of samples needed for learning, under memory constraints? A recent line of works shows that for a large class of learning problems, any learning algorithm requires either a memory of super-linear size or a super-polynomial number of samples. For example, any algorithm for learning parities of size n, from a stream of samples, requires either a memory of quadratic size or an exponential number of samples.
A main message of these works is that for some learning problems, access to a relatively large memory is crucial. I will give a short introduction to the topic and will present, in the second half of the talk, some of the proof ideas.
|
10:00 | Break |
10:30 |
Near-Optimal Pseudorandom Generators for Constant-Depth Read-Once Formulas
(slides)
Dean Doron, Pooya Hatami, and William Hoza
|
11:00 |
Non-Malleable Extractors and Non-Malleable Codes: Partially Optimal Constructions
Xin Li
|
11:30 |
Fourier Bounds and Pseudorandom Generators for Product Tests
Chin Ho Lee
|
12:00 |
Simple and Efficient Pseudorandom Generators from Gaussian Processes
(slides)
Eshan Chattopadhyay, Anindya De, and Rocco Servedio
|
12:30 | Lunch |
14:00 |
Time-Space Lower Bounds for Two-Pass Learning
(slides)
Sumegha Garg, Ran Raz, and Avishay Tal
|
14:30 |
A Fine-Grained Analogue of Schaefer’s Theorem in P: Dichotomy of Existsk-Forall-Quantified First-Order Graph Properties
(slides)
Karl Bringmann, Nick Fischer, and Marvin Künnemann
|
15:00 |
Counting Basic-Irreducible Factors Mod pk in deterministic poly-time and p-adic applications
(slides)
Ashish Dwivedi, Rajat Mittal, and Nitin Saxena
|
15:30 | Break |
16:00 |
Stronger Connections Between Circuit Analysis and Circuit Lower Bounds, via PCPs of Proximity
(slides)
Lijie Chen and Ryan Williams
|
16:30 |
Relations and Equivalences Between Circuit Lower Bounds and Karp-Lipton Theorems
Lijie Chen, Dylan McKay, Cody Murray, and Ryan Williams
|
17:00 |
Hardness Magnification Near State-of-the-Art Lower Bounds
Igor Carboni Oliveira, Jan Pich, and Rahul Santhanam
|
17:30 | Short Break |
17:45 | Rump Session |
Saturday, July 20
8:30 | Breakfast |
9:00 |
Invited Talk
On the NP-Hardness of 2-to-2 Games and Hypercontractivity
(abstract, slides, video)
Dor Minzer
Khot's Unique Games Conjecture is a central open problem in the study of probabilistically checkable proofs (PCP's), which if true, would imply tight inapproximability results for wide class of optimization problems. A recent line of study has resolved the 2-to-2 Games Conjecture, a related but weaker variant of the Unique Games Conjecture. A central component in the proof of this conjecture is a characterization of sets whose edge-expansion bounded away from 1 in the Grassmann Graph, a problem closely related to hypercontractive-type inequalities.
This talk will discuss this line of study. We will also discuss the relation to variants of the classical hypercontractive inequality on various domains.
|
10:00 | Break |
10:30 |
Sherali-Adams Strikes Back
Ryan O'Donnell and Tselil Schramm
|
11:00 |
Size-Degree Trade-Offs for Sums-of-Squares and Positivstellensatz Proofs
Albert Atserias and Tuomas Hakoniemi
|
11:30 |
Resolution and the Binary Encoding of Combinatorial Principles
(slides)
Stefan Dantchev, Nicola Galesi, and Barnaby Martin
|
12:00 |
Nullstellensatz Size-Degree Trade-offs from Reversible Pebbling
(slides)
Susanna F. de Rezende, Or Meir, Jakob Nordström, and Robert Robere
|
12:30 | Lunch |
14:00 |
UG-hardness to NP-hardness by Losing Half
(slides)
Amey Bhangale and Subhash Khot
|
14:30 |
Imperfect Gaps in Gap-ETH and PCPs
(slides)
Mitali Bafna and Nikhil Vyas
|
15:00 |
Optimal Short-Circuit Resilient Formulas
(slides)
Mark Braverman, Klim Efremenko, Ran Gelles, and Michael A. Yitayew
|
15:30 | Break |
16:00 |
From DNF Compression to Sunflower Theorems via Regularity
(slides)
Shachar Lovett, Noam Solomon, and Jiapeng Zhang
|
16:30 |
Criticality of Regular Formulas
Benjamin Rossman
|
17:00 |
Parity Helps to Compute Majority
(slides)
Igor Carboni Oliveira, Rahul Santhanam, and Srikanth Srinivasan
|
17:30 | End of the conference |