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Jonathan H. Huggins
Assistant Professor, Boston University
Joined
March 2019
Names
Jonathan H. Huggins
(Preferred)
,
Jonathan Huggins
Emails
****@mit.edu
(Confirmed)
,
****@bu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Assistant Professor
Boston University
(bu.edu)
2020
–
Present
Postdoc
Harvard University
(harvard.edu)
2018
–
2019
PhD student
Massachusetts Institute of Technology
(mit.edu)
2012
–
2018
Advisors, Relations & Conflicts
Coauthor
Naitong Chen
2024
–
Present
PhD Advisee
Andrew Gerard Roberts
2023
–
Present
Coauthor
Jeffrey Negrea
2021
–
Present
PhD Advisee
Manushi Welandawe
2021
–
Present
PhD Advisee
Yu Wang
2021
–
Present
Coauthor
Aki Vehtari
2020
–
Present
Coauthor
Mikołaj Kasprzak
2018
–
Present
Coauthor
Lester Mackey
2017
–
Present
Coauthor
Trevor Campbell
2015
–
Present
Coauthor
Dan Roy
2014
–
Present
Postdoc Advisor
Jeffrey Miller
2018
–
2019
PhD Advisor
Tamara Broderick
2014
–
2018
Expertise
Robust inference
2020
–
Present
Variational inference
2019
–
Present
Kernel methods
2016
–
Present
Scalable inference
2014
–
Present
MCMC
2012
–
Present
Markov chain Monte Carlo
2012
–
Present
Bayesian inference
2010
–
Present
Publications
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka
,
Alejandro Catalina
,
Michael Riis Andersen
,
Måns Magnusson
,
Jonathan H. Huggins
,
Aki Vehtari
30 Mar 2023 (modified: 30 Mar 2023)
OpenReview Archive Direct Upload
Readers:
Everyone
Challenges for BBVI with Normalizing Flows
Akash Kumar Dhaka
,
Alejandro Catalina
,
Manushi Welandawe
,
Michael Riis Andersen
,
Jonathan H. Huggins
,
Aki Vehtari
Published: 15 Jun 2021, Last Modified: 05 May 2023
INNF+ 2021 poster
Readers:
Everyone
Challenges and Opportunities in High Dimensional Variational Inference
Akash Kumar Dhaka
,
Alejandro Catalina
,
Manushi Welandawe
,
Michael Riis Andersen
,
Jonathan H. Huggins
,
Aki Vehtari
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Poster
Readers:
Everyone
Validated Variational Inference via Practical Posterior Error Bounds
Jonathan H. Huggins
,
Mikolaj Jakub Kasprzak
,
Trevor Campbell
,
Tamara Broderick
21 May 2021
OpenReview Archive Direct Upload
Readers:
Everyone
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
Jonathan H. Huggins
,
Trevor Campbell
,
Mikolaj Jakub Kasprzak
,
Tamara Broderick
21 May 2021
OpenReview Archive Direct Upload
Readers:
Everyone
Independent versus truncated finite approximations for Bayesian nonparametric inference
Tin D. Nguyen
,
Jonathan H. Huggins
,
Lorenzo Masoero
,
Lester Mackey
,
Tamara Broderick
Published: 09 Dec 2020, Last Modified: 05 May 2023
ICBINB 2020 Oral
Readers:
Everyone
Validated Variational Inference via Practical Posterior Error Bounds
Jonathan H. Huggins
,
Mikolaj Kasprzak
,
Trevor Campbell
,
Tamara Broderick
2020 (modified: 29 Sept 2023)
AISTATS 2020
Readers:
Everyone
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka
,
Alejandro Catalina
,
Michael Riis Andersen
,
Måns Magnusson
,
Jonathan H. Huggins
,
Aki Vehtari
2020 (modified: 10 Oct 2024)
CoRR 2020
Readers:
Everyone
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka
,
Alejandro Catalina
,
Michael Riis Andersen
,
Måns Magnusson
,
Jonathan H. Huggins
,
Aki Vehtari
2020 (modified: 10 Oct 2024)
NeurIPS 2020
Readers:
Everyone
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
Brian L. Trippe
,
Jonathan H. Huggins
,
Raj Agrawal
,
Tamara Broderick
2019 (modified: 11 Nov 2022)
ICML 2019
Readers:
Everyone
View all 22 publications
Co-Authors
Akash Kumar Dhaka
Aki Vehtari
Alejandro Catalina
Ardavan Saeedi
Aviv Regev
Brian L. Trippe
Geoffrey Schiebinger
Joshua B. Tenenbaum
Karthik Narasimhan
Lester Mackey
Lorenzo Masoero
Manushi Welandawe
Matthew J. Johnson
Michael Riis Andersen
Mikolaj Jakub Kasprzak
Mikolaj Kasprzak
Miriam Shiffman
Måns Magnusson
Raj Agrawal
Ryan P. Adams
Tamara Broderick
Tin D. Nguyen
Trevor Campbell
Vikash K. Mansinghka
William T. Stephenson