June 27-28, 2023
Bryn Mawr College
The Foundations of Data Science Institute (FODSI) is organizing a summer school on the foundations of data science. This school will be held at the Bryn Mawr College campus, near Philadelphia. It is aimed at advanced undergraduate students and beginning graduate students in fields related to the foundations of data science.
The event is open to all, but registration is required.
June 12-16, 2023
MIT, Building 1, Room 1-190
FODSI @ MIT is organizing tutorial lectures and a workshop on the Computational Complexity of Statistical Inference The workshop will cover topics pertaining to the computational complexity of statistical inference. The workshop (June 14-16) will be preceded by two days of tutorials (June 12-13) on a range of broadly related topics including fine-grained complexity, Markov chain mixing, and connections to cryptography and statistical physics. The workshop is open to all, but registration is required.
June 12-15, 2023
DIMACS, Rutgers University, Piscataway, NJ
Registration deadline: June 4, 2023
The goal of this workshop is to bring together researchers from different areas of graph algorithms to share the techniques that have been recently influential in their area. The program will include a combination of tutorials, talks, open problem sessions, and collaboration time. Topics cover not only fast graph algorithms in the classical setting, but also algorithms in various computational models such as dynamic, streaming, sublinear, and distributed. We aim to foster an environment for cultivation of ideas and collaborations, leading to further advancements in the area.
Registration is free but required (deadline: June 4, 2023). There are limited funds for travel support (apply by May 14, 2023). Call for posters is out (submit by May 28, 2023).
Organizers: Prantar Ghosh, Zihan Tan, Nicole Wein (DIMACS)
May 22-26, 2023
This summer school on high-dimensional expanders is the first event organized in the framework of the EOS-project “High-dimensional expanders and Kac–Moody–Steinberg groups”. It consists of 7 short series of lectures by experts in the field and is meant to be accessible to a wide audience of both young and established researchers.
March 27-31, 2023
University of Warwick, Coventry, UK
Algebraic Complexity Theory is a vibrant field that has been seeing a tremendous amount of activity in the recent years. Its classical questions have been interwoven with deep questions from algebraic geometry, invariant theory, and representation theory. Researchers study a wide range of interlinked topics: arithmetic circuit lower bounds, algorithmic algebra, algorithmic invariant theory, geometric complexity theory, tensor rank, polynomial identity testing, and polynomial reconstruction, to name a few. The workshop brings together experts from different parts of this rich field to discuss the current state of the art, discover new connections, and set the directions for the future.
December 26-28, 2022
Northern Tel Aviv, TAU campus, ANU Museum (Tisch Hall)
We at the Tel Aviv University School of Computer Science are pleased to announce our conference, TAU Theory Fest 2022. The purpose of the conference is for academics of the highest quality to present current research in the field of Theory of Computing, as well as to discuss its future in the following areas: complexity theory, Boolean functions, cryptography, learning, algorithmic game theory and discrete mathematics.
August 1-5, 2022
Foundations of Data Science Institute (FODSI) is organizing a workshop on Sublinear Algorithms. The workshop will be held on August 3-5 at MIT. It will cover topics in sublinear algorithms, including streaming algorithms, sketching algorithms, sublinear-time algorithms, property testing, local algorithms and related topics.
The workshop will be preceded by a summer school (held August 1-2), which will cover topics in sublinear algorithms, as well as the related areas of algorithms for statistical problems and learning-augmented algorithms.
May 27, 2022
Northwestern University Mudd 3514
Ainesh Bakshi (Carnegie Mellon University), Arnold Filtser (Bar Ilan University), Weiyun Ma (Stanford University), Assaf Naor (Princeton University), Erik Waingarten (Stanford University)
Dates: Friday, May 27
Location: Northwestern University
Rooms: Mudd 3514
Registration Link on website-
All times are in the Central Time Zone (CDT; Chicago time).
9:55am: Opening Remarks
10:00am: Arnold Filtser, Locality-Sensitive Orderings
11:00am: Ainesh Bakshi, Robustly Learning a Mixture of k Arbitrary Gaussians 12:00: Lunch
1:00pm: Assaf Naor, Randomized clustering in high dimensions
2:00pm: Erik Waingarten, The Johnson-Lindenstrauss Lemma for Clustering and Subspace Approximation 3:00: Coffee Break
3:20pm: Weiyun Ma, Almost 3-Approximate Correlation Clustering in Constant Rounds
May 13, 2022
Northwestern University and Zoom
We are inviting you to attend the IDEAL Workshop on Algorithms for Massive Data Sets. The workshop will take place at Northwestern University on Friday, May 13. It will be in a hybrid format. If you are interested in participating in the workshop (in-person or remotely), please register on the workshop webpage.
April 22-23, 2022
Northwestern University & Online
We are inviting you to attend the IDEAL Workshop on Clustering. The workshop will take place at Northwestern University on Friday, April 22, and Saturday, April 23. It will be in a hybrid format. If you are interested in participating in the workshop (in-person or remotely), please register on the workshop webpage.