Vu Dinh

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Lam Si Tung HoAssociate Professor, Department of Mathematics and Statistics, Dalhousie UniversityVerified email at dal.ca
Frederick "Erick" A. Matsen IVProfessor, Fred Hutchinson Cancer Research CenterVerified email at fredhutch.org
Gregery T BuzzardProfessor of Mathematics, Purdue UniversityVerified email at purdue.edu
Ann RundellAssociate Professor of Biomedical Engineering, Purdue UniversityVerified email at purdue.edu
Cuong V. NguyenFlorida International UniversityVerified email at fiu.edu
Binh NguyenAssociate Professor, University of Science, Vietnam.Verified email at hcmus.edu.vn
Ankush ChakrabartyPrincipal Research Scientist at Mitsubishi Electric Research Laboratories (MERL)Verified email at merl.com
Stanislaw H. ŻakProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Duy NguyenPh.D. Statistics, University of Wisconsin-MadisonVerified email at stat.wisc.edu
Aaron DarlingIllumina Australia; Professor @ University of Technology SydneyVerified email at illumina.com
cheng zhangPeking UniversityVerified email at pku.edu.cn
Brian C. ClaywellLendioVerified email at lendio.com
Connor McCoyFred Hutchinson Cancer Research CenterVerified email at fhcrc.org
Mathieu FourmentUniversity of Technology SydneyVerified email at uts.edu.au
Martin CorlessAeronautics & Astronautics, Purdue UniversityVerified email at purdue.edu
Arman BilgeComputational evolutionary biologistVerified email at armanbilge.com
Bradley J. LucierProfessor Emeritus of Mathematics and Computer Science, Purdue UniversityVerified email at math.purdue.edu
Dor Ben-AmotzPurdue UniversityVerified email at purdue.edu
Marc A. SuchardProfessor, University of California, Los AngelesVerified email at ucla.edu
Jeffrey P PerleyPurdue UniversityVerified email at purdue.edu

Vu Dinh

University of Delaware

Verified email at udel.edu - Homepage

Phylogenetics Machine learning Uncertainty quantification


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Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences A Chakrabarty, V Dinh, M Corless, AE Rundell, SH Zak, GT Buzzard IEEE, 2016	75	2016
Mel-frequency cepstral coefficients for eye movement identification NV Cuong, V Dinh, LST Ho 2012 ieee 24th international conference on tools with artificial …, 2012	53	2012
Probabilistic path hamiltonian monte carlo V Dinh, A Bilge, C Zhang, FA Matsen IV International Conference on Machine Learning, 1009-1018, 2017	44	2017
Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals M Fourment, BC Claywell, V Dinh, C McCoy, FA Matsen IV, AE Darling Systematic biology 67 (3), 490-502, 2018	29	2018
Online Bayesian phylogenetic inference: theoretical foundations via sequential Monte Carlo V Dinh, AE Darling, FA Matsen IV Systematic biology 67 (3), 503-517, 2018	26	2018
Binary complementary filters for compressive Raman spectroscopy OG Rehrauer, VC Dinh, BR Mankani, GT Buzzard, BJ Lucier, ... Applied spectroscopy 72 (1), 69-78, 2018	23	2018
Robust explicit nonlinear model predictive control with integral sliding mode A Chakrabarty, V Dinh, GT Buzzard, SH Żak, AE Rundell 2014 American Control Conference, 2851-2856, 2014	22	2014
Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen Theory and Applications of Models of Computation: 12th Annual Conference …, 2015	15	2015
Fast learning rates with heavy-tailed losses VC Dinh, LS Ho, B Nguyen, D Nguyen Advances in neural information processing systems 29, 2016	14	2016
Consistent feature selection for analytic deep neural networks VC Dinh, LS Ho Advances in Neural Information Processing Systems 33, 2420-2431, 2020	11	2020
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data NV Cuong, LST Ho, V Dinh Algorithmic Learning Theory: 24th International Conference, ALT 2013 …, 2013	11	2013
Experimental design for dynamics identification of cellular processes V Dinh, AE Rundell, GT Buzzard Bulletin of mathematical biology 76, 597-626, 2014	10	2014
Consistency and convergence rate of phylogenetic inference via regularization V Dinh, LST Ho, MA Suchard, FA Matsen IV Annals of statistics 46 (4), 1481, 2018	8	2018
Consistent feature selection for neural networks via Adaptive Group Lasso V Dinh, LST Ho arXiv preprint arXiv:2006.00334, 2020	7	2020
Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO C Zhang, V Dinh, FA Matsen IV Journal of the American Statistical Association 116 (534), 858-873, 2021	5	2021
Multi-task learning improves ancestral state reconstruction LST Ho, V Dinh, CV Nguyen Theoretical Population Biology 126, 33-39, 2019	5	2019
The shape of the one-dimensional phylogenetic likelihood function V Dinh, FA Matsen IV	5	2017
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke AE Miller, E Russell, DS Reisman, HE Kim, V Dinh Plos one 17 (6), e0270105, 2022	4	2022
Posterior concentration and fast convergence rates for generalized Bayesian learning LST Ho, BT Nguyen, V Dinh, D Nguyen Information Sciences 538, 372-383, 2020	4	2020
An active learning framework for set inversion BT Nguyen, DM Nguyen, LST Ho, V Dinh Knowledge-Based Systems 185, 104917, 2019	4	2019

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