Xiongxin Yang
@yangxx0405Interested in theoretical computer science
For those ready to migrate, here are some starter packs: - TCS starter pack: go.bsky.app/6A6GRSi - EC starter pack: go.bsky.app/8muL3dV
New joint work with Akshar Ramkumar on the mixing time of quantum Gibbs sampling for random sparse Hamiltonians. Very proud of Akshar, who worked on this as a sophomore undergrad at Caltech! arxiv.org/abs/2411.04454
Hey everyone, super excited to announce this: arxiv.org/abs/2411.04710, the first chapter of a new book on Differential Privacy! Thanks so much to @nandofioretto and @PVanHentenryck for having me as a part of this! This chapter covers the history of privacy and resulting…
If you’re writing your statement of purpose for CS PhD applications, check out cs-sop.org! >100 past applicants across >30 CS subfields have kindly shared their statements, and they may be helpful refs when drafting yours. Good luck to everyone applying this cycle!
著者がネットにドラフトを公開してるけどpublishされておらず, にもかかわらず1800件超引用されててMarkov chainの超良書で界隈で知らない人はいないと言われるAldous-Fill stat.berkeley.edu/users/aldous/R…
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
very excited to read this properly with great haste: arxiv.org/abs/2410.00858 'Entropy contraction of the Gibbs sampler under log-concavity' - Filippo Ascolani, Hugo Lavenant, Giacomo Zanella
SOSA 2025 was so much fun to co-chair with @ioanabercea and a great PC! We just finalized the exciting list of papers that will appear at the conference in New Orleans in January: rasmuspagh.net/SOSA25%20Accep…
New today in @QuantaMagazine: the most pure unadulterated fun I've had reporting a story in my time as a journalist to date. After decades, an open online collaboration has definitively identified an unusually active computer program called the fifth busy beaver. 1/5
Mor Harchol-Balter's excellent book Introduction to Probability for Computing is out and available online for free here: cs.cmu.edu/~harchol/Proba…
Funny story from #MCMA2023: When trying to cook up the fastest way to approximate an integral, you bounce back and forth between random & deterministic strategies. What's really going on there? Is there a unified way to look at all of these strategies (Monte Carlo + QMC?)
Check out the latest from #MCMA2023: Monte Carlo integration is super powerful, but can be *slow* So-called 𝘃𝗮𝗿𝗶𝗮𝗻𝗰𝗲 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 techniques give you "more information for your buck," making Monte Carlo thousands of times faster—and useful for real-world problems!
Most video recordings of our workshop (Modern Techniques on Graph Algorithms: sites.google.com/view/dimacswmt…) are online now at youtube.com/playlist?list=…. Thanks to all speakers and participants for making it a success!
All of these diagrams were made by @JDHamkins Finally let me plug the book: I bought it in search of content for the intro-to-proofs class I've been teaching at U Michigan, and it has more than delivered. amazon.com/Proof-Mathemat…
Very honoured and super-excited to receive the best paper award at #COLT23 - Conference on Learning Theory 🥳Sure makes you feel welcome in a new community! Looking much forward to the exciting program the rest of the week. Link to arXiv: arxiv.org/abs/2212.02264
new book on ML theory by Tong Zhang??? sign me right up!!! cambridge.org/core/books/mat…
The excellent survey on the BPP = P derandomisation conjecture by @wjmzbmr1 and Roei Tell is now available on ECCC. Highly recommended! eccc.weizmann.ac.il/report/2023/09…
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