Jeremiah Zhe Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Gaussian Process

Top Venues

J. Mach. Learn. Res.

Publications

James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Jeremiah Zhe Liu, Xiuye Gu, Yin Cui, Dustin Tran, Balaji Lakshminarayanan
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. CoRR (2023)
James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. ICML (2023)
Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR (2023)
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. J. Mach. Learn. Res. 24 (2023)
Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. ICLR (2023)
Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. CoRR (2023)
Zi Lin, Jeremiah Zhe Liu, Jingbo Shang
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) (2022)
Wenying Deng, Beau Coker, Jeremiah Zhe Liu, Brent A. Coull
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees. CoRR (2022)
John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations. Big Data (2022)
Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. CoRR (2022)
Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
Deep Classifiers with Label Noise Modeling and Distance Awareness. Trans. Mach. Learn. Res. 2022 (2022)
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Mingbo Dai, Dustin Tran
Training independent subnetworks for robust prediction. ICLR (2021)
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. CoRR (2020)
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew M. Dai, Dustin Tran
Training independent subnetworks for robust prediction. CoRR (2020)
Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR (2020)
Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning. CoRR (2019)
Wenyu Song, Linying Zhang, Emily Gill, Jeremiah Zhe Liu, Adam Wright
Personalized treatment for type 2 diabetes using weighted k-nearest neighbors. AMIA (2019)
Jeremiah Zhe Liu
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon. CoRR (2019)
Jeremiah Zhe Liu
Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees. CoRR (2019)
Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process. CoRR (2018)