Yihan Zhang
yihanzhang.bsky.social
Yihan Zhang
@yihanzhang.bsky.social
26 followers 180 following 7 posts
https://sites.google.com/view/yihan/
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Reposted by Yihan Zhang
Dr. Tom Berrett is advertising two post-doctoral research associate positions for his ERC grant "HeDiStat: Statistical theory and methodology for the combination of heterogeneous and distributed data". Closing date 14th December 2025. Apply here: warwick-careers.tal.....
Reposted by Yihan Zhang
Some fun news: We're hiring!

Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.

Closing date 13 October 2025; link below!

www.bristol.ac.uk/jobs/find/de...
Reposted by Yihan Zhang
If you've got maths/stats/thy phys/cs background and my project outline here www.bristol.ac.uk/maths/postgr... appeals to you, feel more than welcome to reach out to me (sites.google.com/view/yihan/). 2/
PhD Projects | School of Mathematics | University of Bristol
www.bristol.ac.uk
Dear all, I'm joining the School of Maths, University of Bristol in May 2025 and am looking for a PhD (home fee, i.e., UK students only) under Prob_AI (www.probai.uk/about-us/) to work with me on ``Precise Asymptotics in High-D Stats using Random Matrix Theory and Statistical Physics''. 1/
Prob_AI
An EPSRC funded Hub in the Mathematical and Computational Foundations of AI.
www.probai.uk
Is there a deeper rationale behind this trick?🤯 It turns the objective from a fraction to a quadratic for which the opt f can be easily derived (which doesn't seem to be the case for the original objective).
Actually I realized that I never received the hard copies. Am I supposed to reply to the publisher’s email with my address? 😅
Reposted by Yihan Zhang
I want to explain in down-to-earth terms what this paper is about, since it ultimately boils down to what I think are some really concrete and fundamental questions. 1/n
Yeuk Hay Joshua Lam, Daniel Litt
Algebraicity and integrality of solutions to differential equations
https://arxiv.org/abs/2501.13175
Reposted by Yihan Zhang
Recently posted an updated version of arxiv.org/abs/2306.13326
on `Solving systems of Random Equations'
I find this a really useful model to gain intuition into the behavior of optimization algorithms in high-dimensional overparametrized landscapes, as the ones arising in modern machine learning.
Reposted by Yihan Zhang
Past work has characterized the functions learned by neural networks: arxiv.org/pdf/1910.01635, arxiv.org/abs/1902.05040, arxiv.org/abs/2109.12960, arxiv.org/abs/2105.03361. But it turns out multi-task training produces strikingly different solutions! Adding tasks produces “kernel-like” solutions.
Reposted by Yihan Zhang
Our monograph on "Codes for Adversaries: Between Worst-Case and Average-Case Jamming" (joint work with Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, and Yihan Zhang) is now published!

Writing this has been a great experience and I'm so excited!

www.nowpublishers.com/article/Deta...

1/8
now publishers - Codes for Adversaries: Between Worst-Case and Average-Case Jamming
Publishers of Foundations and Trends, making research accessible
www.nowpublishers.com
Reposted by Yihan Zhang
Overleaf now incorporates an AI assistant, as of this morning. It is opt-out, not opt-in.

I have very mixed feelings about this: and by "mixed", I mean ranging from annoyance to anger.

www.overleaf.com/learn/how-to...
Writefull integration
An online LaTeX editor that’s easy to use. No installation, real-time collaboration, version control, hundreds of LaTeX templates, and more.
www.overleaf.com
Reposted by Yihan Zhang
Agreed!

A useful tip: I have recently started using the \citeauthor command for this purpose, and I find it really convenient.
Reminder: if there are 3 authors or fewer, name them all, no "et al."

Actually, try to name all authors if you can, at least the first time you mention the work. And *especially" if the author ordering is alphabetical! "Aaaaa et al." gets old quickly for X, Y, and Z.
Reposted by Yihan Zhang
It's looking like all the open problems I have thought about in the last 10 years are now solved (or in some cases on the verge of being solved)? Latest case in point this beautiful new paper: arxiv.org/abs/2411.18614 . I'm glad we (humans) got all this results just in time!
Optimal root recovery for uniform attachment trees and $d$-regular growing trees
We consider root-finding algorithms for random rooted trees grown by uniform attachment. Given an unlabeled copy of the tree and a target accuracy $\varepsilon > 0$, such an algorithm outputs a set of...
arxiv.org
Reposted by Yihan Zhang
Reposted by Yihan Zhang
Write math on 🦋 with UnicodeIt!
For example: θ ∈ ℝⁿ or pp̅ → μ⁺μ⁻
Use website or install system-wide in Linux, macOS, or windows
www.unicodeit.net

(Created several years ago with @svenkreiss.bsky.social)