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One of my clients that works on sports analytics is looking to expand, bit.ly/3Ydc8AZ. If you’re interested in implementing Bayesian analyses with immediate practical impact then check them out; we’ve recently been doing some fun work on detailed models on hockey.

In case you missed it: my recent talk on the No-U-Turn Sampler is now available! I share new insights into its reversibility and mixing time. Enjoy! youtube.com/watch?v=eAVXRO… #MCMC #mcmc_stan #pymc3 #nimble #turinglang #numpyro #tensorflow #pymc_labs #Statistics

A blog post on what makes an MCMC algorithm GPU-friendly and more precisely, allows you to efficiently run many chains in parallel. statmodeling.stat.columbia.edu/2024/10/29/wha…

New paper on EigenVI! To appear at #NeurIPS2024 as a spotlight. EigenVI is an eigenvalue-based approach to black-box VI & constructs its variational approximations from orthogonal function expansions -- inspired by solutions to the Schrödinger equation in quantum mechanics.

Exploring 🦋, same handle charlesm993

Excited to present our latest paper on Variational Inference at NeurIPS'24, with Diana Cai, Chirag Modi, Robert M. Gower 🇺🇦, David Blei and Lawrence Saul from Flatiron Institute! Come see our spotlight poster Friday 7:30pm, East Exhibit Hall A-C #3900!

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