Jennifer Listgarten

Affiliations:
  • University of California, Berkeley, CA, USA
  • University of Toronto, Canada


According to our database1, Jennifer Listgarten authored at least 27 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist.
CoRR, 2023

Is novelty predictable?
CoRR, 2023

2022
Augmenting Neural Networks with Priors on Function Values.
CoRR, 2022

Conformal prediction for the design problem.
CoRR, 2022

2020
Autofocused oracles for model-based design.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A view of estimation of distribution algorithms through the lens of expectation-maximization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Conditioning by adaptive sampling for robust design.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Design by adaptive sampling.
CoRR, 2018

Gaussian Process Prior Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Flexible Modeling of Genetic Effects on Function-Valued Traits.
J. Comput. Biol., 2017

2016
Flexible Modelling of Genetic Effects on Function-Valued Traits.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

2015
Session introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.
Bioinform., 2014

Session introduction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
A powerful and efficient set test for genetic markers that handles confounders.
Bioinform., 2013

Session introduction.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

The Future of Genome-Based Medicine.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012
Session introduction.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).
Proceedings of the UAI 2011, 2011

2008
Statistical Resolution of Ambiguous HLA Typing Data.
PLoS Comput. Biol., 2008

2007
Analysis of sibling time series data: Alignment and difference detection.
PhD thesis, 2007

A Statistical Framework for Modeling HLA-Dependent T Cell Response Data.
PLoS Comput. Biol., 2007

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction.
J. Comput. Biol., 2007

Difference detection in LC-MS data for protein biomarker discovery.
Bioinform., 2007

Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach.
Proceedings of the UAI 2007, 2007

2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2004
Multiple Alignment of Continuous Time Series.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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