Austin Okray
Data scientist, photographer, occasional climber
Data Science, MS - SUNY Buffalo
Computer Science, BS - University of Wyoming
@ecmlpkdd.org
Official Twitter account of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. https://ecmlpkdd.org/
@blog.neurips.cc.web.brid.gy
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@drwendyrocks.bsky.social
Earthquake geologist 🧪⚒️ | Scicomm specialist 🎙️| Formerly USGS, IRIS, NASA | she/her | Views are mine | website: https://wendybohon.com/ “A delightful blend of scientific rigor and domestic chaos.”
@matthollanders.bsky.social
Quantitative ecology, statistics, wildlife, field herping. Post-doctoral Research Fellow @ U of Canberra Consultant @ Quantecol, https://quantecol.com.au Wildlife tour guide @ Australian Wildlife Encounters, https://www.australianwildlifeencounters.com
@gabrielpeyre.bsky.social
@crmarsh.com
Building Astral: Ruff, uv, and other high-performance Python tools, written in Rust.
@praveshkkothari.bsky.social
Assistant Professor @PrincetonCS Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@ellen-v.bsky.social
Assistant Professor at Stanford Machine learning, algorithm design, econ-CS https://vitercik.github.io/
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@jamiemmt.bsky.social
CS professor at UW, research focus in theory of ML, fairness, and econCS
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@eigx.bsky.social
Assistant Professor at the University of Michigan. I design fast graph algorithms in dynamic/distributed/local settings. https://sites.google.com/site/thsaranurak/
@mikriles.bsky.social
Tattoo Artist at Nest Art Collective! 🍉🌈🏳️🌈🐰🏵🌿🌵🪴🌱 Mostly nature-inspired tattoos
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@timnitgebru.bsky.social
Personal Account Founder: The Distributed AI Research Institute @dairinstitute.bsky.social. Author: The View from Somewhere, a memoir & manifesto arguing for a technological future that serves our communities (to be published by One Signal / Atria
@njw.fish
Using computers to read the entrails of modernity (statistics, optimization, machine learning), focused on applications in the social and biological sciences. Currently: Stats PhD @Harvard Previously: CS/Soc @Stanford, Stat/ML @Oxford https://njw.fish
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@pontilgroup.bsky.social
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
@erfunmirzaei.bsky.social
Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova. Interested in (deep) learning theory and others.
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@cyroid.bsky.social
Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/