Charles Margossian
@charlesm993
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Research fellow @FlatironCCM and @mcmc_stan developer. Interested in computational and applied statistics. Opinions are my own.
Joined October 2021
Dear colleagues, I'm in the last year of my postdoc at @FlatironInst and I'm looking for research and faculty positions in statistics, data science, and machine learning (for the summer/fall of '25). DM me if you know of places which would be a good fit!
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RT @dianarycai: Come by our #NeurIPS2024 spotlight poster on EigenVI: score-based variational inference with orthogonal function expansions…
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Co-authors: @dianarycai, Chirag Modi, @gowerrobert, David Blei, and Lawrence Saul from @FlatironInst! Link: Poster: Friday 7:30pm, East Exhibit Hall A-C #3900
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Excited to present our latest paper on Variational Inference at NeurIPS'24, with @dianarycai, Chirag Modi, @gowerrobert, David Blei and Lawrence Saul from @FlatironInst! Come see our spotlight poster Friday 7:30pm, East Exhibit Hall A-C #3900!
Fitting a multimodal target distribution with variational inference is hard. The fit and sampling often needs costly iterative methods. Check out our spotlight NeurIPS paper where we use polynomials, score matching, and a direct solution for the fit. 1/x
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RT @sp_monte_carlo: Timely! 'Running Markov Chain Monte Carlo on Modern Hardware and Software' - Pavel Sountsov, C…
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RT @dianarycai: New paper on EigenVI! To appear at #NeurIPS2024 as a spotlight. EigenVI is an eigenvalue-based approach to black-box VI &…
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A blog post on what makes an MCMC algorithm GPU-friendly and more precisely, allows you to efficiently run many chains in parallel.
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RT @nawaf_bou: In case you missed it: my recent talk on the No-U-Turn Sampler is now available! I share new insights into its reversibilit…
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RT @betanalpha: One of my clients that works on sports analytics is looking to expand, If you’re interested in imp…
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The center for computational mathematics of the @FlatironInst is hiring postdoc research fellows. This is an amazing place to do research in NYC! The center works on numerical and simulation methods, machine learning and comp stats. Deadline Dec. 15:
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RT @mcmc_stan: One thing we love about Stan (but also makes it challenging to develop/maintain!) is that it has native interfaces to multip…
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RT @mcmc_stan: Postdoctoral position in statistical modelling of vaccine trials for pandemic preparedness, Oxford, UK
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RT @MarvinSchmittML: Our paper on consistency models for simulation-based inference has been accepted at #NeurIPS2024! Thanks to a fantast…
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StanCon 2024 is a wrap! I shared some closing thoughts on Andrew's blog. Thank you to all the organizers and participants for making this conference happen!
StanCon 2024… is a wrap!
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