Yihan Zhang
@yihanzhang.bsky.social
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.....
October 28, 2025 at 10:51 AM
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.....
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The simplex algorithm is super efficient. 80 years of experience says it runs in linear time. Nobody can explain _why_ it is so fast.
We invented a new algorithm analysis framework to find out.
We invented a new algorithm analysis framework to find out.
Beyond Smoothed Analysis: Analyzing the Simplex Method by the Book
Narrowing the gap between theory and practice is a longstanding goal of the algorithm analysis community. To further progress our understanding of how algorithms work in practice, we propose a new alg...
arxiv.org
October 27, 2025 at 12:48 PM
!!
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...
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...
September 22, 2025 at 1:28 PM
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...
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
PSA — if you’re interested in learning about statistical aspects of optimal transport, check out this new monograph by Sinho Chewi, Jonathan Niles-Weed, and Philippe Rigollet: link.springer.com/book/10.1007...
Statistical Optimal Transport
This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning.
link.springer.com
April 14, 2025 at 11:03 PM
PSA — if you’re interested in learning about statistical aspects of optimal transport, check out this new monograph by Sinho Chewi, Jonathan Niles-Weed, and Philippe Rigollet: link.springer.com/book/10.1007...
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
April 13, 2025 at 2:27 PM
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/
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).
March 24, 2025 at 3:08 PM
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).
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
Algebraicity and integrality of solutions to differential equations
https://arxiv.org/abs/2501.13175
January 24, 2025 at 5:12 PM
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
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.
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.
January 20, 2025 at 6:30 PM
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.
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.
December 7, 2024 at 9:49 PM
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
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
December 4, 2024 at 1:48 PM
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
Writing this has been a great experience and I'm so excited!
www.nowpublishers.com/article/Deta...
1/8
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...
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
November 29, 2024 at 6:49 AM
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...
I have very mixed feelings about this: and by "mixed", I mean ranging from annoyance to anger.
www.overleaf.com/learn/how-to...
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.
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.
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.
November 30, 2024 at 5:19 PM
Agreed!
A useful tip: I have recently started using the \citeauthor command for this purpose, and I find it really convenient.
A useful tip: I have recently started using the \citeauthor command for this purpose, and I find it really convenient.
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
December 1, 2024 at 7:30 AM
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!
Reposted by Yihan Zhang
This video takes pedagogy to a whole new level in teaching the Schrödinger equation! youtu.be/uVKMY-WTrVo?...
What is the i really doing in Schrödinger's equation?
YouTube video by Welch Labs
youtu.be
November 25, 2024 at 2:50 AM
This video takes pedagogy to a whole new level in teaching the Schrödinger equation! youtu.be/uVKMY-WTrVo?...
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)
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)
November 23, 2024 at 9:34 PM
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)
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)