Ian Waudby-Smith, Martin Larsson, Aaditya Ramdas: Nonasymptotic and distribution-uniform Koml\'os-Major-Tusn\'ady approximation https://arxiv.org/abs/2502.06188 https://arxiv.org/pdf/2502.06188 https://arxiv.org/html/2502.06188
11.02.2025 06:14 — 👍 4 🔁 2 💬 1 📌 0
Much of my undergrad years are in these photos.
19.12.2023 23:53 — 👍 2 🔁 0 💬 0 📌 0
"Cuthpert Daniel [...] stopped me in the corridor of Columbia and said 'Hello Robbins, have you gotten around to beginning to commence to start to think of something that might conceivably someday have some practical use?'"
youtu.be/IIO2urt8jHI?...
15.12.2023 22:29 — 👍 2 🔁 0 💬 0 📌 0
Herbert Robbins laughing at his own joke
So many funny quotes
"I am a *pure* statistician, meaning I am too dumb to understand mathematics, and I am too impractical to understand data. So don’t talk to me about your problems"
youtu.be/IIO2urt8jHI?...
15.12.2023 22:28 — 👍 2 🔁 0 💬 1 📌 0
A Conversation with Herbert Robbins (1990), 55 minutes
DS027 Herbert Robbins
Awesome. This interview is also a gem www.youtube.com/watch?v=IIO2...
15.12.2023 22:20 — 👍 1 🔁 1 💬 1 📌 0
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Associate Professor at Princeton
Machine Learning Researcher
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
British, But In Las Vegas and NYC
ezitron.76 Sig
Newsletter - wheresyoured.at
https://linktr.ee/betteroffline - podcast w/ iheartradio
Chosen by god, perfected by science
CEO at EZPR.com - Award-Winning Tech PR
go bears!!!
jessicad.ai
kernelmag.io
Math Assoc. Prof. (On leave, Aix-Marseille, France)
Teaching Project (non-profit): https://highcolle.com/
PhD student at École polytechnique. Optimization, machine learning, robustness
renaudgaucher.github.io
PhD student at INRIA Paris. Working on calibration of machine learning classifiers.
Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/math.PR/new
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
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ML Ph.D. student at CMU. shantanu95.github.io
Econometrics, Statistics, Computational Economics, etc
University of Zurich
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
Asst Prof of Biostats @ University of Pennsylvania
Center for Causal Inference
www.awlevis.com
interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
Statistics and machine learning for science. Los Alamos, NM.
PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!
Machine Learning PhD student @UCL. Interested in Causality and AI Safety.
yuchen-zhu.github.io
Professor of Biostatistics, University of Washington School of Public Health.
Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division.
Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science.
🇨🇦🇮🇹🇦🇲
statistician at harvard med school • causal inference, machine learning, nonparametrics
alexluedtke.com
Assistant Professor of Biostatistics, University of Rochester
Assistant Professor of Statistics at WU Vienna | Before: Postdoc at the University of Copenhagen | PhD from the University of Zurich | Interested in causal inference with complex data structures and statistical software
