Jeremiah Zhe Liu

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Practical Semiparametric Inference With Bayesian Nonparametric Ensembles

Jeremiah Zhe Liu, 2019 .

Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon pdf

Jeremiah Zhe Liu, 2019, AISTATS.

Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process pdf

John W. Paisley, Jeremiah Zhe Liu, Brent A. Coull, 2018, ArXiv.

Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty: A Bayesian Nonparametric Approach

John Paisley, Jeremiah Zhe Liu, Brent A. Coull, 2019, 1904.00521.

Personalized treatment for type 2 diabetes using weighted k-nearest neighbors

Linying Zhang, Jeremiah Zhe Liu, Wenyu Song, 2019, AMIA.

Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior

Dan Roth, Nan Hua, Zi Yang, 2020, FINDINGS.

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness pdf

Dustin Tran, Balaji Lakshminarayanan, Tania Bedrax-Weiss, 2020, NeurIPS.

Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees pdf

Jeremiah Zhe Liu, 2019, ArXiv.

A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies

Jeremiah Zhe Liu, Linda Valeri, Brent A. Coull, 2019, Journal of the American Statistical Association.

Training independent subnetworks for robust prediction pdf

Jasper Snoek, Dustin Tran, Andrew M. Dai, 2020, ArXiv.

Training independent subnetworks for robust prediction pdf

Jeremiah Zhe Liu, Andrew Mingbo Dai, Jasper Snoek, 2021, ICLR 2021 Poster.

Training independent subnetworks for robust prediction pdf

Jasper Snoek, Dustin Tran, Andrew M. Dai, 2020, ICLR.

Variable Selection with Rigorous Uncertainty Quantification using Bayesian Deep Neural Networks

Jeremiah Zhe Liu, 2019 .

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness pdf

Dustin Tran, Balaji Lakshminarayanan, Jeremiah Zhe Liu, 2020, NeurIPS.

Improving Wind Power Utilization in System Dispatch Considering Output and Ramp Rate Dependent Generator Costs

Jeremiah Zhe Liu, M. Li, X. Zou, 2018 .

Immune markers and their association with bone density in children, adolescents and young adults with perinatally-acquired HIV.

Jeremiah Zhe Liu, B. Coull, J. Lindsey, 2020, AIDS research and human retroviruses.

Temperature effect on RPC performance in the ARGO-YBJ experiment

Jeremiah Zhe Liu, Danzengluobu, Labaciren, 2009 .

Image reconstruction by domain-transform manifold learning

Bruce R. Rosen, Bo Zhu, Jeremiah Zhe Liu, 2017, Nature.

Incidence and risk factors of second primary cancer after the initial primary human papillomavirus related neoplasms

Jeremiah Zhe Liu, Jiayi Shen, Y. Huang, 2020, MedComm.

Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations

Jeremiah Zhe Liu, B. Coull, M. Kioumourtzoglou, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Equivalent Model for Calculating Fault Current from Inverter-Interfaced Renewable Energy Generators

S. M. Liu, Jeremiah Zhe Liu, T. S. Bi, 2018 .

The Status of the ARGO Experiment at YBJ

Jeremiah Zhe Liu, Danzengluobu, Labaciren, 2007 .

Image reconstruction by domain-transform manifold learning

Jeremiah Zhe Liu, B. Rosen, M. Rosen, 2017, Nature.

An algorithm for constructing mixed-level k-circulant supersaturated designs

Li Zhang, Min-Qian Liu, Jeremiah Zhe Liu, 2009, Comput. Stat. Data Anal..