YouTube video by AutoML Seminars
Understanding High-Dimensional Bayesian Optimization
Yesterday, I talked about when high-dimensional Bayesian optimization works and when it doesn't at the AutoML seminar. Make sure to watch the talk if you couldn't attend.
youtu.be/SPrlBHwsm4E?...
25.04.2025 10:00 — 👍 2 🔁 0 💬 0 📌 0
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Building AI systems that learn how to learn, grow and adapt continuously, and push humanity forward. Continual learning, meta-learning, open-endedness. Group Lead at TU Eindhoven, Founder of OpenML, NeurIPS D&B Track.
Author of AutoGluon: auto.gluon.ai
Senior Applied Scientist @ AWS AI
#opensource #automl
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae on Fridays, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
Bayesian Optimization and Gaussian Processes
University of Minnesota
Web: https://aryandeshwal.github.io/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
International Conference on Learning Representations https://iclr.cc/
Mathematician interested in optimization, probabilistic modelling, and differential geometry.
miguelgondu.com/about
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Using machines to learn about biology.
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
