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« Workshop on Hardness of Approximation in P

Workshop on Hardness of Approximation in P

July 21, 2025 - July 23, 2025

Location:

Rutgers Academic Building, Room 4225 (East Wing)

Rutgers University

College Avenue Campus

15 Seminary Place

New Brunswick, NJ 08901

Click here for map.

Organizer(s):

Karthik C.S., Rutgers University

Many important optimization problems are not tractable. A typical way to cope with such intractability is to design algorithms that find solutions whose cost or value is close to the optimum. In several interesting cases, it is possible to prove that even finding good approximate solutions is as hard as finding optimal solutions. The area that studies such inapproximability results is called hardness of approximation. In the area of hardness of approximation, the primary emphasis lies in demonstrating the NP-hardness of approximating different NP-Hard optimization problems via the celebrated PCP theorem. Nevertheless, over the past decade, there has been a booming focus on establishing hardness of approximation results for optimization problems within P.

The study of Hardness of Approximation in P has primarily focused on two categories of problems: parameterized problems and subquadratic hard problems. In parameterized complexity, the notable achievements are the hardness of approximation results for the k-Set Cover problem, the k-Set Intersection problem, and the k-Clique problem, with the current prized goal of the community being to prove the Parameterized Inapproximability Hypothesis (a.k.a. the PCP theorem for Parameterized Complexity). In fine-grained subquadratic hardness of approximation, the main highlights are the inapproximability of the Max Inner Product problem, Nearest Neighbor Search problem, and the Closest-LCS-Pair problem. While there are many important open problems, proving the subquadratic hardness of approximating the edit distance of two strings is arguably the current biggest challenge. This workshop will bring together three distinct communities—hardness of approximation in NP, fine-grained complexity, and parameterized complexity—to foster exchange of ideas and the development of synergistic collaborations among these communities.

To facilitate the seamless interaction among the three communities moving forward, the workshop will include several tutorials that collectively encompass the majority of the foundational knowledge necessary for engaging with hardness of approximation in P.

 

Monday, July 21, 2025

9:30 AM - 10:30 AM

Tutorial on Hardness of Approximation in NP

Subhash Khot, New York University (NYU)

Venue

Rutgers University

10:30 AM - 11:00 AM

Break (30 minutes)

Venue

Rutgers University

11:00 AM - 12:00 PM

Challenges in Fine-Grained Complexity in P

Amir Abboud, Weizmann Institute of Science

Venue

Rutgers University

12:00 PM - 2:00 PM

Lunch

Venue

Rutgers University

2:00 PM - 3:00 PM

Tutorial on Parameterized Complexity

Saket Saurabh, Institute of Mathematical Sciences

Venue

Rutgers University

3:00 PM - 3:30 PM

Break (30 minutes)

Venue

Rutgers University

3:30 PM - 4:30 PM

Tutorial on Threshold Graph Composition

Bingkai Lin, Nanjing University

Venue

Rutgers University

 

Tuesday, July 22, 2025

9:30 AM - 10:30 AM

Tutorial on Distributed PCPs

Pasin Manurangsi, Google

Venue

Rutgers University

10:30 AM - 11:00 AM

Break (30 minutes)

Venue

Rutgers University

11:00 AM - 12:00 PM

Recent Progress on Clique and PIH

Bingkai Lin, Nanjing University

Venue

Rutgers University

12:00 PM - 2:00 PM

Lunch

Venue

Rutgers University

2:00 PM - 3:00 PM

Tutorial on Gap-ETH-based Results

Pasin Manurangsi, Google

Venue

Rutgers University

3:00 PM - 3:30 PM

Break (30 minutes)

Venue

Rutgers University

3:30 PM - 4:30 PM

Open Problems Session

Venue

Rutgers University

 

Wednesday, July 23, 2025

9:30 AM - 10:00 AM

TBD

Michal Wlodarczyk, University of Warsaw

Venue

Rutgers University

10:00 AM - 10:30 AM

TBD

Xuandi Ren, University of California, Berkeley

Venue

Rutgers University

10:30 AM - 11:00 AM

Break (30 minutes)

Venue

Rutgers University

11:00 AM - 11:30 AM

TBD

Thatchaphol Saranurak, University of Michigan

Venue

Rutgers University

11:30 AM - 12:00 PM

TBD

Yael Kirkpatrick, Massachusetts Institute of Technology

Venue

Rutgers University

12:00 PM - 12:30 PM

TBD

Venue

Rutgers University

12:30 PM - 3:00 PM

Lunch & Collaboration Time

Venue

Rutgers University

 

Presentations at this workshop are by invitation but others are welcome to attend. There is no fee to attend but registration is required. Please register using the link at the bottom of the page.

 

Request support: There are limited funds available to support travel. Priority will be given to those whose interests align with the topic and whose attendance is contingent on support, especially students. 

 

To request support please complete and submit this form by April 15, 2025 for full consideration. You will receive a response shortly after the April 15 deadline. Please do not book your tickets until you hear from us if you need support!

 

What information is requested in the form? Here are some things we will ask for:

  • A short statement (one paragraph) about your research area and your interest in the workshop .
  • CV in PDF format (optional).
  • Contact information for one faculty member who could speak to how attendance will benefit you. (We will only contact this person if we need more information.)
  • Type/amount of support you will need.