David Hong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Provable Tradeoffs in Adversarially Robust Classification	2023	Edgar Dobriban Hamed Hassani David Hong Alexander Robey
+	Optimally Weighted PCA for High-Dimensional Heteroscedastic Data	2023	David Hong Fan Yang Jeffrey A. Fessler Laura Balzano
+	Streaming Probabilistic PCA for Missing Data with Heteroscedastic Noise	2023	Kyle Gilman David Hong Jeffrey A. Fessler Laura Balzano
+ PDF Chat	Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings	2021	Brian Cleary James A. Hay Brendan Blumenstiel Maegan Harden Michelle Cipicchio Jon Bezney Brooke Simonton David Hong Madikay Senghore Abdul Karim Sesay
+	HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise	2021	David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler
+	Generic Properties of Koopman Eigenfunctions for Stable Fixed Points and Periodic Orbits	2021	Matthew D. Kvalheim David Hong Shai Revzen
+ PDF Chat	Baseline estimation of commercial building HVAC fan power using tensor completion	2020	Shunbo Lei David Hong Johanna L. Mathieu Ian A. Hiskens
+ PDF Chat	Using viral load and epidemic dynamics to optimize pooled testing in resource constrained settings	2020	Brian Cleary James A. Hay Brendan Blumenstiel Maegan Harden Michelle Cipicchio Jon Bezney Brooke Simonton David Hong Madikay Senghore Abdul Karim Sesay
+ PDF Chat	Generalized Canonical Polyadic Tensor Decomposition	2020	David Hong Tamara G. Kolda Jed A. Duersch
+	Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion	2020	Shunbo Lei David Hong Johanna L. Mathieu Ian A. Hiskens
+	Stochastic Gradients for Large-Scale Tensor Decomposition	2020	Tamara G. Kolda David Hong
+	Selecting the number of components in PCA via random signflips	2020	David Hong Yue Sheng Edgar Dobriban
+	Exploration of tensor decomposition applied to commercial building baseline estimation	2019	David Hong Shunbo Lei Johanna L. Mathieu Laura Balzano
+ PDF Chat	Convolutional Analysis Operator Learning: Dependence on Training Data	2019	Il Yong Chun David Hong Ben Adcock Jeffrey A. Fessler
+ PDF Chat	Asymptotic performance of PCA for high-dimensional heteroscedastic data	2018	David Hong Laura Balzano Jeffrey A. Fessler
+	Optimally Weighted PCA for High-Dimensional Heteroscedastic Data	2018	David Hong Jeffrey A. Fessler Laura Balzano
+	Subspace Clustering using Ensembles of $K$-Subspaces	2017	John Lipor David Hong Yan Tan Laura Balzano
+ PDF Chat	Towards a theoretical analysis of PCA for heteroscedastic data	2016	David Hong Laura Balzano Jeffrey A. Fessler

Common Coauthors

Coauthor	Papers Together
Laura Balzano	8
Jeffrey A. Fessler	7
Shunbo Lei	3
Johanna L. Mathieu	3
Ian A. Hiskens	2
Michael J. Mina	2
Abdul Karim Sesay	2
Stacey Gabriel	2
Aviv Regev	2
Brendan Blumenstiel	2
Kyle Gilman	2
Maegan Harden	2
Edgar Dobriban	2
Tamara G. Kolda	2
Madikay Senghore	2
Jon Bezney	2
Brooke Simonton	2
Brian Cleary	2
James A. Hay	2
Michelle Cipicchio	2
Yue Sheng	1
Matthew D. Kvalheim	1
Alexander Robey	1
John Lipor	1
Il Yong Chun	1
Jed A. Duersch	1
Fan Yang	1
Shai Revzen	1
Hamed Hassani	1
Yan Tan	1
Ben Adcock	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	5
+ PDF Chat	Correcting systematic effects in a large set of photometric light curves	2005	Omer Tamuz T. Mazeh S. Zucker	4
+	Principal Component Analysis	2005	Ian T. Jolliffe	4
+ PDF Chat	A Limited Memory Algorithm for Bound Constrained Optimization	1995	Richard H. Byrd Peihuang Lu Jorge Nocedal Ciyou Zhu	4
+ PDF Chat	Asymptotic performance of PCA for high-dimensional heteroscedastic data	2018	David Hong Laura Balzano Jeffrey A. Fessler	4
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi	4
+ PDF Chat	Generalized Canonical Polyadic Tensor Decomposition	2020	David Hong Tamara G. Kolda Jed A. Duersch	3
+ PDF Chat	Generalized Low Rank Models	2016	Madeleine Udell Corinne Horn Reza Bosagh Zadeh Stephen Boyd	3
+ PDF Chat	MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis	2011	Koji Maruhashi Fan Guo Christos Faloutsos	3
+	Optimal Spectral Shrinkage and PCA With Heteroscedastic Noise	2021	William Leeb Elad Romanov	3
+ PDF Chat	Robust Estimation of a Location Parameter	1964	Peter J. Huber	3
+ PDF Chat	Community prevalence of SARS-CoV-2 in England: Results from the ONS Coronavirus Infection Survey Pilot	2020	Koen B. Pouwels Thomas House Julie V. Robotham Paul Birrell Andrew Gelman Nikola Bowers Ian Boreham Heledd Thomas James Lewis Iain Bell	2
+ PDF Chat	Group Testing With Probabilistic Tests: Theory, Design and Application	2011	Mahdi Cheraghchi Ali Hormati Amin Karbasi Martin Vetterli	2
+ PDF Chat	Assessment of SARS-CoV-2 Screening Strategies to Permit the Safe Reopening of College Campuses in the United States	2020	A. David Paltiel Amy Zheng Rochelle P. Walensky	2
+	Estimation of the number of spiked eigenvalues in a covariance matrix by bulk eigenvalue matching analysis	2020	Zheng Tracy Ke Yucong Ma Xihong Lin	2
+ PDF Chat	The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application	2020	Stephen A. Lauer Kyra H. Grantz Qifang Bi Forrest K. Jones Qulu Zheng Hannah R. Meredith Andrew S. Azman Nicholas G Reich Justin Lessler	2
+	Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan	2020	Yen‐Ta Huang Yu‐Kang Tu Pei‐Chun Lai	2
+ PDF Chat	Towards a theoretical analysis of PCA for heteroscedastic data	2016	David Hong Laura Balzano Jeffrey A. Fessler	2
+	PCA in High Dimensions: An Orientation	2018	Iain M. Johnstone Debashis Paul	2
+	Tensor Decomposition based Adaptive Model Reduction for Power System Simulation	2019	Denis Osipov Kai Sun	2
+	MATLAB Tensor Toolbox	2006	Tamara G. Kolda Brett W. Bader	2
+	Matrix denoising for weighted loss functions and heterogeneous signals	2019	William Leeb	2
+	Exploration of tensor decomposition applied to commercial building baseline estimation	2019	David Hong Shunbo Lei Johanna L. Mathieu Laura Balzano	2
+ PDF Chat	Secondary attack rate and superspreading events for SARS-CoV-2	2020	Yang Liu Rosalind M. Eggo Adam J. Kucharski	2
+ PDF Chat	Interrupting transmission of COVID-19: lessons from containment efforts in Singapore	2020	Vernon J. Lee Calvin J. Chiew Wei Xin Khong	2
+	Characteristics of Household Transmission of COVID-19	2020	Wei Li Bo Zhang Jianhua Lu Shihua Liu Zhi-Qiang Chang Peng Cao Xinghua Liu Peng Zhang Ling Yan Kaixiong Tao	2
+	Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study	2020	Qin-Long Jing Ming-Jin Liu Zhou-Bin Zhang Li-Qun Fang Jun Yuan An-Ran Zhang Natalie E. Dean Lei Luo Meng-Meng Ma Ira M. Longini	2
+	Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance	2020	Daniel B. Larremore Bryan Wilder Evan Lester Soraya I. Shehata James M. Burke James A. Hay Milind Tambe Michael J. Mina Roy Parker	2
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	2
+ PDF Chat	Estimating epidemiologic dynamics from cross-sectional viral load distributions	2020	James A. Hay Lee Kennedy‐Shaffer Sanjat Kanjilal Niall J. Lennon Stacey B. Gabriel Marc Lipsitch Michael J. Mina	2
+ PDF Chat	Statistical challenges of high-dimensional data	2009	Iain M. Johnstone D. M. Titterington	2
+ PDF Chat	Tensor Completion Algorithms in Big Data Analytics	2019	Qingquan Song Hancheng Ge James Caverlee Xia Hu	2
+ PDF Chat	The Polynomial Method for Random Matrices	2007	N. Raj Rao Alan Edelman	2
+ PDF Chat	Explicit Non-adaptive Combinatorial Group Testing Schemes	2008	Ely Porat Amir Rothschild	2
+ PDF Chat	Pooled testing for HIV prevalence estimation: exploiting the dilution effect	1998	Stefanos Zenios Lawrence M. Wein	2
+	Positive tensor factorization	2001	Max Welling Markus Weber	2
+ PDF Chat	Scalable tensor factorizations for incomplete data	2010	Evrim Acar Daniel Dunlavy Tamara G. Kolda Morten Mørup	2
+ PDF Chat	Efficient MATLAB Computations with Sparse and Factored Tensors	2007	Brett W. Bader Tamara G. Kolda	2
+	Strong convergence of the empirical distribution of eigenvalues of sample covariance matrices with a perturbation matrix	2010	Guangming Pan	2
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	2
+ PDF Chat	Generalized Low Rank Models	2016	Madeleine Udell Corinne Horn Reza Bosagh Zadeh Stephen Boyd	2
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	2
+	Large Sample Covariance Matrices and High-Dimensional Data Analysis	2015	Jianfeng Yao Shurong Zheng Zhidong Bai	2
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	2
+ PDF Chat	Heteroskedastic PCA: Algorithm, optimality, and applications	2022	Anru R. Zhang Tommaso Cai Yihong Wu	2
+	Optimally Weighted PCA for High-Dimensional Heteroscedastic Data	2018	David Hong Jeffrey A. Fessler Laura Balzano	2
+	Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations	2013	Anh Huy Phan Petr Tichavský Andrzej Cichocki	2
+	Convolutional Analysis Operator Learning: Acceleration and Convergence	2019	Il Yong Chun Jeffrey A. Fessler	2
+	Algorithm 862	2006	Brett W. Bader Tamara G. Kolda	2
+	A scalable optimization approach for fitting canonical tensor decompositions	2011	Evrim Acar Daniel Dunlavy Tamara G. Kolda	2