Virginia Aglietti is the last invited speaker at our workshop in Bayesian decision making and uncertainty #NeurIPS2024 join us in East room 8 to hear her talk on FunBO, a new way to discover acquisition functions for Bayesian optimization!
15.12.2024 00:16 โ ๐ 5 ๐ 2 ๐ฌ 0 ๐ 0
Our next invited speaker is Jacob Gardner talking about how Bayesian optimization needs better deep learning! #NeurIPS2024
14.12.2024 22:06 โ ๐ 2 ๐ 2 ๐ฌ 0 ๐ 0
We are super excited to have Roman Garnett telling us what he learned while writing his Bayesian optimisation book at our workshop in Bayesian decision making and uncertainty! Come join us in East room 8 or online #NeurIPS2024
14.12.2024 21:08 โ ๐ 16 ๐ 2 ๐ฌ 0 ๐ 0
Our last contributed talk is "Variational Search Distributions" by Rafael Oliveira! #NeurIPS2024
14.12.2024 20:57 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
Joachim Schaeffer is the next contributed speaker at our Bayesian decision making and uncertainty workshop #NeurIPS2024, talking about how to use spatiotemporal Gaussian processes for Lithium-Ion battery system health monitoring!
14.12.2024 20:49 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Patrick OโHara is now talking about "Distributionally Robust Optimisation with Bayesian Ambiguity Sets" at the Bayesian decision making and uncertainty workshop #NeurIPS2024
14.12.2024 20:40 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
Freddie Bickford Smith is now talking about "Rethinking Aleatoric and Epistemic Uncertainty" at our workshop in Bayesian decision making at uncertainty!
14.12.2024 19:26 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Ruda Zhang is the next contributed speaker at our Bayesian decision making at uncertainty workshop! He is presenting work joint with his PhD student
Taiwo Adebiyi on Gaussian process Thompson sampling via rootfinding.
14.12.2024 19:25 โ ๐ 3 ๐ 1 ๐ฌ 0 ๐ 0
@miniapeur.bsky.social is now giving the first contributed talk for our Bayesian decision making and uncertainty workshop #NeurIPS2024! Join us to hear about how to convert graphs into Hodgelet spectral features and do classification using Gaussian processes!
14.12.2024 19:06 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0
@estherrolf.bsky.social is the next speaker at the #NeurIPS2024 workshop in Bayesian decision making at uncertainty -- come to East Room 8 now or online to hear why we need more uncertainty based modeling in geospatial machine learning!
14.12.2024 18:55 โ ๐ 11 ๐ 2 ๐ฌ 0 ๐ 0
The NeurIPS Workshop on Bayesian Decision-making and Uncertainty has started - our first talk is by @mvdw.bsky.social!
Join us at East Meeting Room 8, 15, or online!
14.12.2024 17:45 โ ๐ 41 ๐ 6 ๐ฌ 1 ๐ 0
Researcher in Statistics @Unibocconi | she/her
Personal Website at https://beatricefranzolini.github.io/
MLxBio @vant_ai. Previously, research @Twitter and FabulaAI (acquired by Twitter). PhD in Graph ML at @imperialcollege and @Cambridge_Uni alumnus
Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
#MachineLearning editor at @iopp-mlresearch.bsky.social (@ioppublishing.bsky.social). Theoretical chemist. LEGO fan. #DFT #compchem #chemistry #DogsofCompChem #Quantum
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๐Buffalo, NY
Postdoctoral fellow @ University of Oslo (back home in ๐๏ธ๐ณ๐ด๐๏ธ), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge ๐ฌ๐ง
Postdoctoral Research Scientist in Statistics at Columbia University
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
๐ Software Architect & Sr. Fullstack Engineer / Dev - Java, JS, Python, ML/AI
Other interests: CompSci, Tech, Startups, Academia, Research, Electronics, Mathematics, Physics, Space, Science, AR/VR, Robotics, Guitar, Piano, Sci-fi, Languages
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/
based in Bayesian area
Iโm not an โAโsian, Iโm a โBโsian
Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/
Assistant professor in Statistics at UWโMadison.
Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
Postdoctoral researcher at Aalto University and FCAI, Helsinki ๐ซ๐ฎ
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
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
Data scientist interested in causal inference, Bayesian statistics and data visualization.
Decision-making under uncertainty, machine learning theory, artificial intelligence ยท anti-ideological ยท Assistant Research Professor, Cornell
https://avt.im/ ยท https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Associate Professor at MIT EECS.