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dbpatel1994.bsky.social
CS PhD at UW-Madison | Interests: Learning Theory, Trustworthy ML | Previously: IISc, Bangalore Website: https://dbp1994.github.io
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Part 2 of the collaboration with Terence Tao on the cosmic distance ladder is now out. It covers how we first learned the distances to planets, stars, and galaxies far, far away. youtu.be/hFMaT9oRbs4

This semester I‘m giving „Introduction to Topological Data Analysis“ for the 3rd time. The number of registrations has grown, this year we are at 80 registrations, it‘s great to see more and more students interested in TDA! We have lecture notes on our course webpage ti.inf.ethz.ch/ew/courses/T...

Modern supply chains don't look like trade theory 101! They involve constant border crossings, each now hit by tariffs. Tariffs raise prices, but the more important thing they do is disrupt supply relationships. 1/

Quite a nice watch: youtu.be/TE4R8bumI-Q?...

I've realised a couple of times over the break that when you're able to set aside a block of time for free research (even just e.g. a full afternoon), the benefits of having that unconstrained time are super nice in some quite specific ways.

Finally compiled and refined this a bit; do take a look if you're curious! A more TeX'd version is attached in the screenshots. hackmd.io/@sp-monte-ca... 'Some Intuition Boosters'

Calling #MathSky: I'm teaching a sophomore-level class this spring called Geometry and the Arts, and I'm looking to round out my list of topics / activity ideas / materials. The goal is "Here are lots of ways that geometrical ideas come up when people are pursuing their artistic practices."

Lots of great ideas and resources in this thread!

My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-o...

Reposting with alt text!

The Gaussian is a nice bumpy shape, but sometimes we hope for a smooth (i.e. C∞) function like the Gaussian that is 𝒂𝒍𝒔𝒐 compactly supported. One such class of functions is called "Bump functions" 1/6

Found slides by Ankur Moitra (presented at a TCS For All event) on "How to do theoretical research." Full of great advice! My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!" Slides: drive.google.com/file/d/15VaT... TCS For all: sigact.org/tcsforall/

Releasing lectures and notes for an intro course on Statistical Detection & Estimation I used to teach. The core material hasn't changed (was an EE class) but it is as relevant today to AI researchers as ever before Lecture notes drive.google.com/file/d/1Zl_p... YouTube youtube.com/playlist?lis...

As my first post on this platform, allow me to advertise the RL theory lecture notes I have been developing with Sasha Rakhlin: arxiv.org/abs/2312.16730 (shameless repost of my pinned tweet)

I wrote a Part IV postscript to my job market blog post to add what I've learned as faculty. TL;DR: No one is out to get you. For anything not going your way, it's probably due to people being busy or bureaucracy. And there are probably people working very hard for you behind the scenes regardless.

That's it! All 12 lectures* for my course on “Randomised and Advanced Algorithms” are up. Lectures, along with slides**, tutorials (recitations) and their solutions. 🔗 ccanonne.github.io/teaching/COM... Feedback welcome!