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Invited Talk 4 Q&A
Jonathan Huggins
Tue Dec 14 01:00 PM -- 01:05 PM (PST) @
Author Information
Jonathan Huggins (Boston University)
More from the Same Authors
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2021 : Statistically Robust Inference with Stochastic Gradient Algorithms »
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2021 Poster: Challenges and Opportunities in High Dimensional Variational Inference »
Akash Kumar Dhaka · Alejandro Catalina · Manushi Welandawe · Michael Andersen · Jonathan Huggins · Aki Vehtari -
2020 Poster: Robust, Accurate Stochastic Optimization for Variational Inference »
Akash Kumar Dhaka · Alejandro Catalina · Michael Andersen · Måns Magnusson · Jonathan Huggins · Aki Vehtari -
2018 Poster: Random Feature Stein Discrepancies »
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2017 : Poster Spotlights »
Francesco Locatello · Ari Pakman · Da Tang · Thomas Rainforth · Zalan Borsos · Marko Järvenpää · Eric Nalisnick · Gabriele Abbati · XIAOYU LU · Jonathan Huggins · Rachit Singh · Rui Luo -
2017 Poster: PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference »
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2017 Spotlight: PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference »
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2016 Poster: Coresets for Scalable Bayesian Logistic Regression »
Jonathan Huggins · Trevor Campbell · Tamara Broderick