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Jacob R. Gardner
Assistant Professor, University of Pennsylvania
Joined
November 2017
Names
Jacob R. Gardner
(Preferred)
,
Jacob R Gardner
Emails
****@cornell.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@uber.com
(Confirmed)
,
****@seas.upenn.edu
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Assistant Professor
University of Pennsylvania
(upenn.edu)
2020
–
Present
Research Scientist
Uber
(uber.com)
2019
–
2020
Postdoc
Cornell University
(cornell.edu)
2018
–
2019
PhD student
Cornell University
(cornell.edu)
2015
–
2018
PhD student
Washington University, St. Louis
(wustl.edu)
2013
–
2015
Advisors, Relations & Conflicts
Postdoc Advisor
Andrew Gordon Wilson
2018
–
2019
PhD Advisor
Kilian Weinberger
2013
–
2015
Expertise
No areas of expertise listed
Publications
Stochastic approximation with biased mcmc for expectation maximization
Samuel Gruffaz
,
Kyurae Kim
,
Alain Oliviero Durmus
,
Jacob R. Gardner
AISTATS 2023
Readers:
Everyone
We Still Don’t Understand High-Dimensional Bayesian Optimization
Colin Doumont
,
Donney Fan
,
Natalie Maus
,
Jacob R. Gardner
,
Henry Moss
,
Geoff Pleiss
AISTATS 2026 Oral
Readers:
Everyone
Scaling Multi-Task Bayesian Optimization with Large Language Models
Yimeng Zeng
,
Natalie Maus
,
Haydn Thomas Jones
,
Jeffrey Tao
,
Fangping Wan
,
Marcelo Der Torossian Torres
,
Cesar de la Fuente-Nunez
,
Ryan Marcus
,
Osbert Bastani
,
Jacob R. Gardner
ICLR 2026 Poster
Readers:
Everyone
Making the Subspace Assumption Work: Low-Dimensional Exploration for High-Dimensional Bayesian Optimization
Yixiang Tan
,
Natalie Maus
,
Chulin Dai
,
Yimeng Zeng
,
Jacob R. Gardner
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Generative modeling for RNA splicing predictions and design
Yoseph Barash
,
Di Wu
,
Jacob R. Gardner
,
Natalie Maus
,
San Jewell
,
Anupama Jha
,
Benjamin Wales-Mcgrath
,
Peter S Choi
,
Anna Tangiyan
eLife
Readers:
Everyone
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Thomas Jones
,
Natalie Maus
,
Josh magnus Ludan
,
Maggie Ziyu Huan
,
Jiaming Liang
,
Marcelo Der Torossian Torres
,
Jiatao Liang
,
Zachary Ives
,
Yoseph Barash
,
Cesar de la Fuente-Nunez
,
Jacob R. Gardner
,
Mark Yatskar
NeurIPS 2025 Datasets and Benchmarks Track poster
Readers:
Everyone
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus
,
Kyurae Kim
,
Yimeng Zeng
,
Haydn Thomas Jones
,
Fangping Wan
,
Marcelo Der Torossian Torres
,
Cesar de la Fuente-Nunez
,
Jacob R. Gardner
NeurIPS 2025 poster
Readers:
Everyone
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
Kyurae Kim
,
Yian Ma
,
Trevor Campbell
,
Jacob R. Gardner
NeurIPS 2025 poster
Readers:
Everyone
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
Kyurae Kim
,
Zuheng Xu
,
Jacob R. Gardner
,
Trevor Campbell
ICML 2025 poster
Readers:
Everyone
Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael S Yao
,
Yimeng Zeng
,
Hamsa Bastani
,
Jacob R. Gardner
,
James Gee
,
Osbert Bastani
NeurIPS 2024
Readers:
Everyone
View all 119 publications
Co-Authors
Aaron R. Seitz
Aaron Solomon
Adji Bousso Dieng
Alain Durmus
Alain Oliviero Durmus
Alexander G Shypula
Alexander Shypula
Aman Madaan
Amir Yazdanbakhsh
Andrew Gordon Wilson
Anil Damle
Anja Pahor
Anna Tangiyan
Anupama Jha
Ariel A. Hippen
Beidi Chen
Benjamin Wales-Mcgrath
Brian Karrer
Casey S. Greene
Cesar de la Fuente-Nunez
Christopher De Sa
Chuan Guo
Chulin Dai
Colin Doumont
Dan Roth
View all 143 co-authors