Yajun Mei

Technometrics, January, 2023

Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2023

Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination.

[BibT_eX]

[DOI]

Yuyang Shi

Aditya Deshmukh

Venugopal V. Veeravalli

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, March, 2022

Adaptive Partially Observed Sequential Change Detection and Isolation.

[BibT_eX]

[DOI]

Technometrics, 2022

Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Covariance Estimators for the ROOT-SGD Algorithm in Online Learning.

[BibT_eX]

[DOI]

Yiling Luo

Xiaoming Huo

CoRR, 2022

Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation.

[BibT_eX]

[DOI]

CoRR, 2022

Active Quickest Detection When Monitoring Multi-streams with Two Affected Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent.

[BibT_eX]

[DOI]

Yiling Luo

Xiaoming Huo

Proceedings of the IEEE International Symposium on Information Theory, 2022

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models.

[BibT_eX]

[DOI]

Yiling Luo

Xiaoming Huo

Proceedings of the IEEE International Symposium on Information Theory, 2022

Efficient Sequential UCB-based Hungarian Algorithm for Assignment Problems.

[BibT_eX]

[DOI]

Yuyang Shi

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size.

[BibT_eX]

[DOI]

Wanrong Zhang

Rachel Cummings

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Optimum Multi-Stream Sequential Change-Point Detection With Sampling Control.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Single and Multiple Change-Point Detection with Differential Privacy.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Nonparametric monitoring of multivariate data via KNN learning.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2021

Editorial: Mathematical Fundamentals of Machine Learning.

[BibT_eX]

[DOI]

Frontiers Appl. Math. Stat., 2021

Asymptotic Theory of 𝓁<sub>1</sub>-Regularized PDE Identification from a Single Noisy Trajectory.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Stream Quickest Detection with Unknown Post-Change Parameters Under Sampling Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Improved performance properties of the CISPRT algorithm for distributed sequential detection.

[BibT_eX]

[DOI]

Kun Liu

Signal Process., 2020

Second-Order Asymptotically Optimal Change-point Detection Algorithm with Sampling Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Optimal Stopping for Interval Estimation in Bernoulli Trials.

[BibT_eX]

[DOI]

Tony Yaacoub

IEEE Trans. Inf. Theory, 2019

Adaptive Online Monitoring of the Ising model.

[BibT_eX]

[DOI]

Namjoon Suh

Ruizhi Zhang

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring.

[BibT_eX]

[DOI]

Yuan Wang

Kamran Paynabar

Technometrics, 2018

Differentially Private Change-Point Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Search for evergreens in science: A functional data analysis.

[BibT_eX]

[DOI]

Ruizhi Zhang

Jian Wang

J. Informetrics, 2017

Sequential estimation based on conditional cost.

[BibT_eX]

[DOI]

Tony Yaacoub

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2015

Quickest Change Detection and Kullback-Leibler Divergence for Two-State Hidden Markov Models.

[BibT_eX]

[DOI]

Cheng-Der Fuh

IEEE Trans. Signal Process., 2015

Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation.

[BibT_eX]

[DOI]

Yuan Wang

IEEE Trans. Inf. Theory, 2015

An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring.

[BibT_eX]

[DOI]

Kaibo Liu

Jianjun Shi

Technometrics, 2015

2014

Online parallel monitoring via hard-thresholding post-change estimation.

[BibT_eX]

[DOI]

Yuan Wang

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Quantization Effect on the Log-Likelihood Ratio and Its Application to Decentralized Sequential Detection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

2012

Quantization effect on second moment of log-likelihood ratio and its application to decentralized sequential detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Asymptotic Optimality Theory for Decentralized Sequential Multihypothesis Testing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Quickest detection in censoring sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010

Decentralized multihypothesis sequential detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

Linear-mixed effects models for feature selection in high-dimensional NMR spectra.

[BibT_eX]

[DOI]

Seoung Bum Kim

Kwok-Leung Tsui

Expert Syst. Appl., 2009

Decentralized two-sided sequential tests for A normal mean.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

2008

Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models.

[BibT_eX]

[DOI]

Cheng-Der Fuh

Proceedings of the 11th International Conference on Information Fusion, 2008

2006

Information Bounds for Decentralized Sequential Detection.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2004

Information bounds and asymptotically optimal procedures for detecting changes in decentralized decision systems.

[BibT_eX]

[DOI]