Computer Science -- Data Structures and Algorithms (cs.DS)
source: https://export.arxiv.org/rss/cs.DS
maintainer: @tmaehara.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
math of data science
Postdoc at UPenn
Assistant Professor @PrincetonCS
Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
Statistics and ML Theory
https://ankitp.net/
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
professor of EECS at MIT, currently visiting IAS. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc.
i'll let you know when P != NP is proved (and when it's not)
PhD Student @ UWaterloo, Interested in TCS + Stats/ML and Differential Privacy, https://argymouz.github.io/
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
👀 || ESM3 || Princeton PhD || MIT BS/MEng || former ai resident @google, intern @nvidia || Bay Area native
postdoc at EPFL. raresbuhai.com.
official Bluesky account (check username👆)
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