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RIP Peter Lax (1926–2025): nytimes.com/2025/05/16/sci… "Lax has made important contributions to integrable systems, fluid dynamics and shock waves, solitonic physics, hyperbolic conservation laws, and mathematical and scientific computing, among other fields." (h/t Carina Curto)

Two gold medals in math olympiads and a PhD in math

More people should know what a figure is.

Same but with linear algebra

there should be pubs with blackboards fr

I wrote in my notes few years ago a *suboptimal* lower bounds of GD for smooth strongly convex function. Nesterov's proof uses seq w/ values in ℝ^ℕ (so infinite dimensional), whereas I do a similar strategy as in the convex case, ie in ℝ^n 1/3 samuelvaiter.com/intro-to-lower…

The recording of the SIAM Activity Group on Data Science webinar "Teaching the mathematics of data science" is online! youtu.be/nynELwnA8ow?si…

An interesting thought. In most practical cases, you can easily reformulate any convex optimization problem equivalently with linear cost and "simple" (conic?) constraints. Same for its dual. CVXPY does it. So via strong duality, any convex opt. <==> convex feasibility. You can

I sample points uniformly on the sphere and then look at them on a map (in longitude and z-coordinate). STILL UNIFORMLY DISTRIBUTED! 🤯 (Quite a nice fact that is special to three dimensions: Each coordinate of a random vector uniformly on the unit sphere is uniform in [-1,1].)

Today at #ILAS25 in Taiwan: I will speak in MS4, join me a find out about or #stochastic #projected #gradient ascent method computing the #operator norm. I will provide rather new convergence rates. A co-work with Dirk L.

I usually also spend an hour or so on such a list when I teach linear algebra - but thinking that this sums up linear algebra is so wrong. Matrices are basically never square. Without least squares, min-norm and SVD, linear algebra is moot

Join our ML Theory group next week as they welcome Tony S.F. on July 3rd for a presentation on "Training neural networks at any scale" Thanks to Andrej Jovanović Anier Velasco Sotomayor and Thang Chu for organizing this session 👏 Learn more: cohere.com/events/Cohere-…

And this guy created the beamer class for LaTeX to prepare the slides for his own PhD thesis defense. (No idea why he went on to create pgf and TikZ, though.) de.wikipedia.org/wiki/Till_Tant…

In hindsight this sounds like a no-brainer - like all good insights do.

My issue with #NeurIPS2025: if a co-author fails to submit their assigned reviews, jointly submitted papers are not receiving reviews. Collective punishment is unfair and harmful, discouraging collaboration, penalizing innocent researchers, worsening the academic culture.

Oh wait that’s how

A: A mathematical statement/concept makes intuitive sense. B: There is a framework where a mathematical statement/concept can be proven/defined. I tend to believe that A ⇒ B, but not vice versa. (Thinking about Dirac's delta and the Banach-Tarski paradox, for example.)

Even shorter δ * = d

Who is your favourite alive scientist?

a) is my go-to 1 that I use most of the time. c) is my choice for exponents (especially if it's -1). b) Only if it's a very important one.