Screenshot of the (first) page of the scribe notes for the "Hidden Gems" curated and illustrated by Nathan Harms
Ahead of the Sublinear Algorithms reunion next week at the @simonsinstitute.bsky.social, scribe notes for last year's "hidden gems" and open problems (curated by Nathan Harms and Santhoshini Velusamy) have been uploaded to the reunion's webpage:
Check them out: simons.berkeley.edu/workshops/su...
25.06.2025 03:20 โ ๐ 24 ๐ 4 ๐ฌ 1 ๐ 0
SODA 2026
The Call for Papers (CfP) for #SODA26 is out: www.siam.org/conferences-...
The submission server is open: soda26.hotcrp.com
Deadline: โฐ Monday, July 14, AoE (July 15, 11:59am UTC)
30.04.2025 08:13 โ ๐ 14 ๐ 11 ๐ฌ 0 ๐ 0
Workshop on Algorithms for Large Data (Online) 2025
Taking a break from the submission season? Swing by the Workshop on Algorithms for Large Data (Online), WALDO 2025 ๐๏ธ April 14โ16: waldo-workshop.github.io/2025.html
Registration is free! (but necessary by April 7)
04.04.2025 06:44 โ ๐ 4 ๐ 4 ๐ฌ 0 ๐ 0
Workshop on Algorithms for Large Data (Online) 2025
An announcement: the Workshop on Algorithms for Large Data (Online) 2025 will take place ๐๏ธ April 14โ16.
waldo-workshop.github.io/2025.html
Goal: "to generate new collaborations through an emphasis on big data algorithms, broadly defined"
Register (free) by โฐ April 7 to access the virtual platform
17.03.2025 00:21 โ ๐ 21 ๐ 8 ๐ฌ 1 ๐ 2
2025 Fellows | Alfred P. Sloan Foundation
Our mission is to make the world a better place through the advancement of scientific knowledge.
Congratulations to the 2025 Sloan Fellows, including Aviad Rubinstein, Lerrel Pinto, Mark Sellke, Mohsen Ghaffari, Thatchaphol Saranurak, and David J. Wu!
sloan.org/fellowships/...
@aviad-rubinstein.bsky.social
@lerrelpinto.com
@eigx.bsky.social
18.02.2025 17:19 โ ๐ 26 ๐ 3 ๐ฌ 1 ๐ 0
FOCS 2025
The #FOCS2025 website is up! Featuring a Call for Papers and important dates: focs.computer.org/2025/
โฐ Deadline: April 3, 2025 (8pm ET)
โฐ Notification: July 8, 2025
๐๏ธ Conference: December 14โ17, 2025
Content and info will be added as it becomes available (workshops, activities, travel support).
08.02.2025 21:04 โ ๐ 25 ๐ 15 ๐ฌ 0 ๐ 1
PhD School on Intersections of Algorithms and Machine Learning Theory
Excited to co-organise another summer school on learning theory! This time in beautiful Odense, Denmark. Please share and apply here:
event.sdu.dk/algoml2025
07.01.2025 06:44 โ ๐ 27 ๐ 15 ๐ฌ 1 ๐ 0
Postdoc opportunity: if interested in a postdoc related to sketching starting Summer/Fall'25, especially applied to more efficient foundation model architectures (e.g. faster approx attention), please follow the instructions on the left column of theory.cs.berkeley.edu/postdoc.html by Jan 31
07.01.2025 11:25 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0
ITCS'25 online parallel
What we do
Welcome! This site is about an online parallel event for the conference ITCS'25 that aims to provide an inclusive platform for the TCS researchers unable to attend the conference in person....
We are launching an ๐ฎ๐ง๐จ๐๐๐ข๐๐ข๐๐ฅ and experimental online parallel event for the conference ITCS25, aimed at everyone who cannot attend the conference in person for whatever reasons. (1/2)
sites.google.com/view/itcs202...
#ITCS25 #ITCS2025 #OnlineParallels
17.12.2024 23:16 โ ๐ 23 ๐ 9 ๐ฌ 1 ๐ 3
Lecturer in Computational Theory, School of Computing and Information Systems, University of Melbourne. Interests: Theoretical computer science and combinatorial optimisation, focussing on approximation and online algorithms. williamumboh.com
Computer scientist at Charles University, Prague ๐จ๐ฟ I like all kinds of efficient algorithms and data structures for large datasets || also โฐ๏ธ๐บ๐ฆhttps://iuuk.mff.cuni.cz/~vesely/
PhD candidate @ Yale | Undergrad @ IITK | anaymehrotra.com
Learning Theory, Missing Data, Generation
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory.
https://uuujf.github.io
TCS PhD Student at Columbia
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
CS Professor at UMass Amherst. Theoretical computer science, numerical linear algebra, machine learning.
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/
CS PhD student @Yale
Algorithms, Differential Privacy, Machine Learning
http://felix-zhou.com
Assistant Professor at NYU | Postdoc at MIT | PhD at CMU | Theoretical Computer Science | Quantum Information
Assistant professor at University of Michigan. Theoretical computer science.
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
Professor and Chair of Computer Science Division, UC Berkeley EECS. Research Scientist (part-time) at Google. Founder, AddisCoder. ๐ป๐ฎ๐บ๐ธ๐ช๐น
Theoretical Computer Scientist at Columbia. joshalman.com
Chief scientist at Robust Intelligence and professor at Yale (on leave)
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.