Diana Cai
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
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- Check out my poster today (Thurs) at 11am--2pm session. Exhibit Hall C,D,E Poster Location: #602 "Fisher meets Feynman: score-based variational inference with a product of experts" (NeurIPS spotlight) with Robert Gower, David Blei, and Lawrence Saul @flatironinstitute.org #NeurIPS2025
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- I'm on the academic job market! I design and analyze probabilistic machine-learning methods---motivated by real-world scientific constraints, and developed in collaboration with scientists in biology, chemistry, and physics. A few highlights of my research areas are:
- Fisher meets Feynman! 🤝 We use score matching and a trick from quantum field theory to make a product-of-experts family both expressive and efficient for variational inference. To appear as a spotlight @ NeurIPS 2025. #NeurIPS2025 (link below)
- Saw a talk yesterday where they mentioned the automatic statistician. What a fun throwback 😊
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- Reposted by Diana Caireminder that my (wonderful, diverse, interdisciplinary) department at the University of Oregon is seeking applications for an Associate/Full Professor of Data Science -- deadline 10/31 and only cover letter/CV needed to apply academicjobsonline.org/ajo/jobs/30328
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- Excited to be heading to @Princeton @PrincetonSML to talk about my work on variational inference! Event details below: csml.princeton.edu/events/batch...
- Reposted by Diana CaiWant to work on Trustworthy AI? 🚀 I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems. The position will be co-advised by Hossein Azizpour or Henrik Boström.
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- Reposted by Diana CaiWe have created a resource in the ISBA website where you can find all recorded webinars: bayesian.org/ba-webinars/ Also, don't forget about the ISBA YouTube channel featuring curated playlists from ISBA World Meetings and specialized workshops and seminars: www.youtube.com/@isba-intern...
- Excited to attend the Fast and Curious II in Toronto! Here’s the workshop page: raducraiu.com/the-fast-and...
- Reposted by Diana CaiProposals for contributed talks & posters are now being accepted for the 2026 ISBA World Meeting! The world meeting will take place in Nagoya, Japan between 28 June and 3 July, 2026. Proposals may be submitted here: forms.gle/dVTUrdEuVF6g...
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- The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats. The deadline is Dec 1. apply.interfolio.com/173401 ML@CCM group: users.flatironinstitute.org/~lsaul/ml_cc...
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- Reposted by Diana Cai📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
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- Enjoyed co presenting this tutorial at #uai2025 in Brazil with Yingzhen Li! Enjoyed the conference size and location. Also great company, weather, and food.
- Headed to Singapore for BayesComp next week!
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- Come check out our #AISTATS2025 poster Sunday Hall A—E 79. Previously we showed how to fit a full cov Gaussian approx via “batch and (score) match.” Here we show how to make the update cheaper using a “patch” step that projects the update to one that is low rank + diagonal.
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- Very cool to see our ICML 2024 paper on Batch and Match variational inference featured in OpenAI’s PaperBench! They have a nice blog post and paper here: openai.com/index/paperb...
- Looking forward to attending and speaking at LoG-NYC, held at the Flatiron Institute. Lots of interesting topics around ML for science, networks, and structured probabilistic inference. log-nyc.github.io
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- Enjoying the BIRS workshop on efficient approximate inference! Really great program on various aspects of variational inference. My talk from yesterday on "batch and match: score based approaches for black-box variational inference" is linked here: www.birs.ca/events/2025/...
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- Workshop on Advances in Post-Bayesian methods (May 15--16, UCL): postbayes.github.io/workshop2025/
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- Interested in reviewing for #TMLR? I am looking for reviewers with expertise in e.g., probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. You can specify a max paper load and mark when you're unavailable to review. Sign up on the google form below:
- Our paper "Batch, match, and patch: low-rank approximations for score-based variational inference" is accepted to #AISTATS2025. This paper addresses score-based variational inference with Gaussians (batch and match VI) with low rank + diagonal covariances. Preprint: arxiv.org/abs/2410.22292
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- Going to my first ever AISTATS and first time in Thailand! 🎉🌴🍾
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- Hmm I’ve never been to Greece 🤔😁
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- Happening today at #neurips2024 East Exhibit Hall A-C #3900 4:30pm
- Come by our #NeurIPS2024 spotlight poster on EigenVI: score-based variational inference with orthogonal function expansions! Friday 7:30pm, East Exhibit Hall A-C #3900 Link: arxiv.org/abs/2410.24054
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- Coffee recommendations in Vancouver??
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- Come by our #NeurIPS2024 spotlight poster on EigenVI: score-based variational inference with orthogonal function expansions! Friday 7:30pm, East Exhibit Hall A-C #3900 Link: arxiv.org/abs/2410.24054
- Research internships @FlatironInst's Center for Computational Mathematics! We have many researchers working in machine learning and statistics: users.flatironinstitute.org/~lsaul/ml_cc... Apply here to be a summer intern: apply.interfolio.com/159678
- Heading to #NeurIPS2024 next week to present EigenVI: score-based variational inference with orthogonal function expansions Link: arxiv.org/abs/2410.24054 Poster: Friday 7:30pm, East Exhibit Hall A-C #3900
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