Hoang Tran

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sum-of-Squares Hierarchy for the Gromov Wasserstein Problem	2025	Hoang Tran Binh Thien Nguyen Yong Sheng Soh
+ PDF Chat	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing	2025	Hoang Tran Qiang Du Guannan Zhang
+ PDF Chat	Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data	2024	Tony Shi Mason Ma Hoang Tran Guannan Zhang
+ PDF Chat	Agricultural Landscape Understanding At Country-Scale	2024	R Dua Nikita Saxena Aditi Agarwal Alex Wilson Gaurav Singh Hoang Tran Ishan Deshpande Amandeep Kaur Gaurav Aggarwal Chandan Nath
+ PDF Chat	Empirical Tests of Optimization Assumptions in Deep Learning	2024	Hoang Tran Qinzi Zhang Ashok Cutkosky
+ PDF Chat	Private Zeroth-Order Nonsmooth Nonconvex Optimization	2024	Qinzi Zhang Hoang Tran Ashok Cutkosky
+ PDF Chat	Convergence rates of S.O.S hierarchies for polynomial semidefinite programs	2024	Hoang Tran Kim-Chuan Toh
+	Point Cloud Data Simulation and Modelling with Aize Workspace	2023	Boris Mocialov Eirik Eythorsson Reza Parseh Hoang Tran Vegard Flovik
+	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing	2023	Hoang Tran Qiang Du Guannan Zhang
+	Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis	2023	Armenak Petrosyan Konstantin Pieper Hoang Tran
+ PDF Chat	Model calibration of the liquid mercury spallation target using evolutionary neural networks and sparse polynomial expansions	2022	Majdi I. Radaideh Hoang Tran Lianshan Lin Hao Jiang Drew Winder Sarma Gorti Guannan Zhang Justin Mach Sarah Cousineau
+ PDF Chat	Analysis of sparse recovery for Legendre expansions using envelope bound	2022	Hoang Tran Clayton Webster
+	Compressive-sensing-assisted mixed integer optimization for dynamical system discovery with highly noisy data	2022	Zhongshun Shi Hang Ma Hoang Tran Guannan Zhang
+	Momentum Aggregation for Private Non-convex ERM	2022	Hoang Tran Ashok Cutkosky
+	Differentially Private Online-to-Batch for Smooth Losses	2022	Qinzi Zhang Hoang Tran Ashok Cutkosky
+ PDF Chat	Compressive-Sensing-Assisted Mixed Integer Optimization for Dynamical System Discovery with Highly Noisy Data	2022	Zhongshun Shi Hang Ma Hoang Tran Guomin Zhang
+	Applications of resultant of two $p$-adic power series.	2021	Hoang Tran
+	Enabling Long-range Exploration in Minimization of Multimodal Functions	2021	Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang
+ PDF Chat	On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals	2021	Nick Dexter Hoang Tran Clayton Webster
+ PDF Chat	Accelerating reinforcement learning with a Directional-Gaussian-Smoothing evolution strategy	2021	Jiaxin Zhang Hoang Tran Guannan Zhang
+	Applications of resultant of two $p$-adic power series	2021	Hoang Tran
+	Better SGD using Second-order Momentum	2021	Hoang Tran Ashok Cutkosky
+ PDF Chat	Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy	2020	Jiaxing Zhang Hoang Tran Guannan Zhang
+	A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.	2020	Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang
+	Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy	2020	Jiaxing Zhang Hoang Tran Guannan Zhang
+	Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing	2020	Yiming Xu Akil Narayan Hoang Tran Clayton Webster
+	AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient	2020	Hoang Tran Guannan Zhang
+	A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization	2020	Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang
+	A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations	2019	Hoang Tran Clayton Webster
+	A Weighted 𝓁 1 -Minimization Approach For Wavelet Reconstruction of Signals and Images.	2019	Joseph Daws Armenak Petrosyan Hoang Tran Clayton Webster
+	A mixed <i>ℓ</i><sub>1</sub> regularization approach for sparse simultaneous approximation of parameterized PDEs	2019	Nick Dexter Hoang Tran Clayton Webster
+	Reconstructing high-dimensional Hilbert-valued functions via compressed sensing	2019	Nick Dexter Hoang Tran Clayton Webster
+ PDF Chat	Reconstruction of jointly sparse vectors via manifold optimization	2019	Armenak Petrosyan Hoang Tran Clayton Webster
+	Reconstructing high-dimensional Hilbert-valued functions via compressed sensing	2019	Nick Dexter Hoang Tran Clayton Webster
+	A Weighted $\ell_1$-Minimization Approach For Wavelet Reconstruction of Signals and Images	2019	Joseph Daws Armenak Petrosyan Hoang Tran Clayton Webster
+	Reconstructing high-dimensional Hilbert-valued functions via compressed sensing	2019	Nick Dexter Hoang Tran Clayton Webster
+	Reconstruction of jointly sparse vectors via manifold optimization	2018	Armenak Petrosyan Hoang Tran Clayton Webster
+	Analysis of sparse recovery for Legendre expansions using envelope bound	2018	Hoang Tran Clayton Webster
+	Neutron Scattering Instrumentation at Compact Neutron Sources	2018	Sarah Böhm Tobias Cronert Jan-Philipp Dabrück X. Fabrèges Thomas Gutberlet F. Mezei A. Letourneau A. Menelle F. Ott Ulrich Rücker
+	Reconstruction of jointly sparse vectors via manifold optimization	2018	Armenak Petrosyan Hoang Tran Clayton Webster
+	On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals	2017	Nick Dexter Hoang Tran Clayton Webster
+	Unified sufficient conditions for uniform recovery of sparse signals via nonconvex minimizations	2017	Hoang Tran Clayton Webster
+	A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations	2017	Hoang Tran Clayton Webster
+	Polynomial approximation via compressed sensing of high-dimensional functions on lower sets	2017	Abdellah Chkifa Nick Dexter Hoang Tran Clayton Webster
+ PDF Chat	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients	2017	Hoang Tran Clayton Webster Guannan Zhang
+	A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations	2017	Hoang Tran Clayton Webster
+ PDF Chat	A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models	2016	Hoang Tran Clayton Webster Guannan Zhang
+	Analysis of partitioned methods for the <scp>B</scp>iot System	2015	Martina Bukač William Layton Marina Moraiti Hoang Tran Cătălin Trenchea
+	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients	2015	Hoang Tran Clayton Webster Guannan Zhang
+	A sparse grid method for Bayesian uncertainty quantification with application to large eddy simulation turbulence models	2015	Hoang Tran Clayton Webster Guannan Zhang
+	A Crank–Nicolson Leapfrog stabilization: Unconditional stability and two applications	2014	Nan Jiang Michaela Kubacki William Layton Marina Moraiti Hoang Tran
+ PDF Chat	A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models	2014	Hoang Tran Clayton Webster Guannan Zhang
+	Long time stability of four methods for splitting the evolutionary Stokes–Darcy problem into Stokes and Darcy subproblems	2012	William Layton Hoang Tran Xin Xiong

Common Coauthors

Coauthor	Papers Together
Clayton Webster	24
Guannan Zhang	16
Armenak Petrosyan	6
Nick Dexter	6
Ashok Cutkosky	5
Jiaxin Zhang	4
Dan Lu	3
William Layton	3
Qinzi Zhang	3
Qiang Du	2
Jiaxing Zhang	2
Marina Moraiti	2
Joseph Daws	2
Zhongshun Shi	2
F. Mezei	1
J. Voigt	1
X. Fabrèges	1
Sarma Gorti	1
Alex Wilson	1
Shubhika Garg	1
Tobias Cronert	1
Konstantin Pieper	1
Yong Sheng Soh	1
Nishi Shah	1
Mason Ma	1
Majdi I. Radaideh	1
Milind Sohoni	1
F. Ott	1
Akil Narayan	1
Michaela Kubacki	1
Nikita Saxena	1
Drew Winder	1
E Abhishek	1
Sarah Böhm	1
Nan Jiang	1
Avneet Singh	1
Kim-Chuan Toh	1
Ishan Deshpande	1
Binh Thien Nguyen	1
Hang Ma	1
Gaurav Singh	1
Cătălin Trenchea	1
Reza Parseh	1
Xin Xiong	1
Thomas Gutberlet	1
Eirik Eythorsson	1
A. Menelle	1
A.R. Reddy	1
A. Letourneau	1
Guomin Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Polynomial approximation via compressed sensing of high-dimensional functions on lower sets	2017	Abdellah Chkifa Nick Dexter Hoang Tran Clayton Webster	10
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	9
+ PDF Chat	Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations	2015	Holger Rauhut Christoph Schwab	7
+	A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data	2008	Fabio Nobile Raúl Tempone Clayton Webster	7
+ PDF Chat	Infinite-Dimensional Compressed Sensing and Function Interpolation	2017	Ben Adcock	7
+ PDF Chat	ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S	2011	Albert Cohen Ronald DeVore Christoph Schwab	6
+ PDF Chat	Interpolation via weighted ℓ1 minimization	2015	Holger Rauhut Rachel Ward	6
+ PDF Chat	A non-adapted sparse approximation of PDEs with stochastic inputs	2011	Alireza Doostan Houman Owhadi	6
+	Sparse Legendre expansions via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si12.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>-minimization	2012	Holger Rauhut Rachel Ward	6
+	Random Gradient-Free Minimization of Convex Functions	2015	Yurii Nesterov Vladimir Spokoiny	6
+ PDF Chat	A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications	2013	Ernie Esser Yifei Lou Jack Xin	5
+ PDF Chat	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients	2017	Hoang Tran Clayton Webster Guannan Zhang	5
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	5
+ PDF Chat	Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies	2014	Jerrad Hampton Alireza Doostan	5
+	Compressed sensing	2006	David L. Donoho	5
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	5
+	Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence	2008	Elaine Hale Wotao Yin Yin Zhang	5
+ PDF Chat	Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries	2014	Penghang Yin Ernie Esser Jack Xin	5
+ PDF Chat	Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors	2008	Moshe Mishali Yonina C. Eldar	5
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	4
+ PDF Chat	Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations	2015	John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono	4
+ PDF Chat	A weighted -minimization approach for sparse polynomial chaos expansions	2014	Ji Peng Jerrad Hampton Alireza Doostan	4
+ PDF Chat	Rank Awareness in Joint Sparse Recovery	2012	Mike E. Davies Yonina C. Eldar	4
+ PDF Chat	On polynomial chaos expansion via gradient-enhanced ℓ1-minimization	2016	Ji Peng Jerrad Hampton Alireza Doostan	4
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	4
+ PDF Chat	Subspace Methods for Joint Sparse Recovery	2012	Kiryung Lee Yoram Bresler Marius Junge	4
+ PDF Chat	Derivative-free optimization methods	2019	Jeffrey Larson Matt Menickelly Stefan M. Wild	4
+	Provably Robust Blackbox Optimization for Reinforcement Learning	2019	Krzysztof Choromański Aldo Pacchiano Jack Parker-Holder Yunhao Tang Deepali Jain Yuxiang Yang Atıl Işçen Jasmine Hsu Vikas Sindhwani	3
+	A mixed <i>ℓ</i><sub>1</sub> regularization approach for sparse simultaneous approximation of parameterized PDEs	2019	Nick Dexter Hoang Tran Clayton Webster	3
+	Guided evolutionary strategies: Augmenting random search with surrogate gradients	2018	Niru Maheswaranathan Luke Metz George Tucker Dami Choi Jascha Sohl‐Dickstein	3
+	Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates	2018	Krishnakumar Balasubramanian Saeed Ghadimi	3
+ PDF Chat	Approximation of high-dimensional parametric PDEs	2015	Albert Cohen Ronald DeVore	3
+ PDF Chat	ZOO	2017	Pin‐Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho‐Jui Hsieh	3
+	On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals	2017	Nick Dexter Hoang Tran Clayton Webster	3
+	Exact Reconstruction of Sparse Signals via Nonconvex Minimization	2007	Rick Chartrand	3
+	ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS	2012	Joakim Beck Raúl Tempone Fabio Nobile Lorenzo Tamellini	3
+	A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling	2018	Alvaro Maggiar Andreas Wächter Irina Dolinskaya Jeremy Staum	3
+	A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization	2019	Albert S. Berahas Liyuan Cao Krzysztof Choromański Katya Scheinberg	3
+ PDF Chat	Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation	2010	Yonina C. Eldar Holger Rauhut	3
+	Compressed sensing and best 𝑘-term approximation	2008	Albert Cohen Wolfgang Dahmen Ronald DeVore	3
+	Stability of two IMEX methods, CNLF and BDF2-AB2, for uncoupling systems of evolution equations	2011	William Layton Cătălin Trenchea	3
+	The null space property for sparse recovery from multiple measurement vectors	2010	Ming‐Jun Lai Yang Liu	3
+ PDF Chat	Theoretical and Empirical Results for Recovery From Multiple Measurements	2010	E. van den Berg Michael P. Friedlander	3
+ PDF Chat	Derivative-free optimization: a review of algorithms and comparison of software implementations	2012	Luis Miguel Rios Nikolaos V. Sahinidis	3
+	Highly sparse representations from dictionaries are unique and independent of the sparseness measure	2006	Rémi Gribonval Morten Nielsen	3
+ PDF Chat	On the Stability and Accuracy of Least Squares Approximations	2013	Albert Cohen Mark A. Davenport D. Leviatan	3
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	3
+ PDF Chat	Recovering Compressively Sampled Signals Using Partial Support Information	2011	Michael P. Friedlander Hassan Mansour Rayan Saab Özgür Yılmaz	3
+	Sparsest solutions of underdetermined linear systems via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msub><mml:mi>ℓ</mml:mi><mml:mi>q</mml:mi></mml:msub></mml:math>-minimization for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"><mml:mn>0</mml:mn><mml:mo><</mml:mo><mml:mi>q</mml:mi><mml:mo>⩽</mml:mo><mml:mn>1</mml:mn></mml:math>	2008	Simon Foucart Ming‐Jun Lai	3
+ PDF Chat	Analytic regularity and nonlinear approximation of a class of parametric semilinear elliptic PDEs	2012	Markus Hansen Christoph Schwab	3