Aviad Rubinstein

85 posts

Aviad Rubinstein

Aviad Rubinstein

@AviadRubinstein

Algorithms for Toddlers (https://t.co/1CuoUx2whF) | Algs for Teenagers (https://t.co/L220qEBmqA) | Algs for Grown Ups (https://t.co/bNhR2xF3vV)

Katılım Temmuz 2018
218 Takip Edilen390 Takipçiler
Aviad Rubinstein retweetledi
Jelani Nelson
Jelani Nelson@minilek·
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
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Sam Altman
Sam Altman@sama·
algorithmic feeds are the first at-scale misaligned AIs
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Thomas Ahle
Thomas Ahle@thomasahle·
o1-preview one-shots my hardest programming interview question. What do I do?
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Barna Saha
Barna Saha@B1ar2n3a·
Some trivia about SODA 2025. SODA 2025 accepted 192 papers out of 655 submissions. It could have accepted 292 papers without compromising on the quality but could not do so due to strict restrictions on the number of talk slots. Accepted Paper list: siam.org/conferences-ev…
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Aviad Rubinstein
Aviad Rubinstein@AviadRubinstein·
Yet another awesome (but this time local) TCS opportunity: 🥳We're hosting TOCA-SV at Stanford on Nov 8th🥳 Free registration and everything else you always wanted to know about the 11th TOCA-SV: sites.google.com/cs.stanford.ed…
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Tim Roughgarden
Tim Roughgarden@Tim_Roughgarden·
Over the past three summers @a16zcrypto we've had 19 tremendous research interns. Want to be part of the summer '25 cohort? The application is open now, for full consideration apply by Nov 8. (Link in replies.)
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Aviad Rubinstein
Aviad Rubinstein@AviadRubinstein·
Looks like Jamboard is actually frozen :( Good (hopefully free) alternatives? Ideally ones where we can both easily draw and write latex?
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Timothy Gowers @wtgowers
Timothy Gowers @wtgowers@wtgowers·
Occasionally in mathematics a statement that just has to be true turns out to be false. A paper appeared on arXiv today that disproves a well-known conjecture in probability called the bunkbed conjecture. 🧵 arxiv.org/abs/2410.02545
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Ola Svensson
Ola Svensson@AlgoSvensson·
@SebastienBubeck Amazing, we basically did the same last semester in the introduction to algorithms course at EPFL with 500+ students. Every week the students got to teach two of the most important concepts/algorithms to an LLM instructed to learn and ask questions about those concepts.
Ola Svensson tweet media
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DIMACS
DIMACS@DIMACSCenter·
Are you a TCS grad student who doesn't know much about fine-grained complexity, but wish you did? Check out the DIMACS Tutorial on Fine-grained Complexity that @karthikcs_, Amir Abboud, and Nick Fischer are organizing for July 15-19, 2024: dimacs.rutgers.edu/events/details…
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Karthik C. S.
Karthik C. S.@karthikcs_·
Along with Amir Abboud and Nick Fischer, I'm organizing a tutorial in Fine-grained complexity in July 2024, primarily for graduate students. The website to apply is: dimacs.rutgers.edu/events/details….
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Aaron Roth
Aaron Roth@Aaroth·
Traditional swap regret algorithms are not monotone! But recent ones are, and we give a reduction that lets you use them in the limited feedback setting that arises here. For more on learning in principal agent problems, check out the paper: arxiv.org/abs/2402.17108
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Aviad Rubinstein retweetledi
Aaron Roth
Aaron Roth@Aaroth·
Here is a 3 page paper giving a super-simple deterministic online algorithm that guarantees 2√T distance to calibration. The analysis is only 1 page (the first 2 pages are chit chat). It has a "Follow the perturbed leader" flavor. arxiv.org/abs/2402.11410
Aaron Roth tweet media
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Shengwu Li
Shengwu Li@ShengwuLi·
On the job market, please feel free to use a completely canned cover letter. I have never read them, and as far as I can tell neither have my colleagues.
Martin Halla@HallaMartin

#Econjobmarket — I am really surprised by the significant percentage of cover letters that are completely canned (& even misname the job posting institution etc.) It takes very little effort to tailor a CL to a specific job posting/institution. Given the sheer volume of

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