Vu Dinh
Title
Cited by
Cited by
Year
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
582016
Mel-frequency cepstral coefficients for eye movement identification
NV Cuong, V Dinh, LST Ho
2012 ieee 24th international conference on tools with artificial …, 2012
442012
Probabilistic path hamiltonian monte carlo
V Dinh, A Bilge, C Zhang, FA Matsen IV
International Conference on Machine Learning, 1009-1018, 2017
252017
Online Bayesian phylogenetic inference: theoretical foundations via sequential Monte Carlo
V Dinh, AE Darling, FA Matsen IV
Systematic biology 67 (3), 503-517, 2018
222018
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
192014
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
172018
Binary complementary filters for compressive Raman spectroscopy
OG Rehrauer, VC Dinh, BR Mankani, GT Buzzard, BJ Lucier, ...
Applied spectroscopy 72 (1), 69-78, 2018
152018
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
International Conference on Theory and Applications of Models of Computation …, 2015
132015
Fast learning rates with heavy-tailed losses
VC Dinh, LS Ho, B Nguyen, D Nguyen
Advances in neural information processing systems, 505-513, 2016
112016
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data
NV Cuong, LST Ho, V Dinh
International Conference on Algorithmic Learning Theory, 264-278, 2013
112013
Experimental design for dynamics identification of cellular processes
V Dinh, AE Rundell, GT Buzzard
Bulletin of mathematical biology 76 (3), 597-626, 2014
102014
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
92018
Consistent feature selection for analytic deep neural networks
V Dinh, LST Ho
arXiv preprint arXiv:2010.08097, 2020
62020
An active learning framework for set inversion
BT Nguyen, DM Nguyen, LST Ho, V Dinh
Knowledge-Based Systems 185, 104917, 2019
42019
The shape of the one-dimensional phylogenetic likelihood function
V Dinh, FA Matsen IV
The Annals of Applied Probability 27 (3), 1646-1677, 2017
42017
Effective sampling schemes for Behavior Discrimination in nonlinear systems
V Dinh, AE Rundell, GT Buzzard
International Journal for Uncertainty Quantification 4 (6), 535-554, 2014
42014
OASIS: an active framework for set inversion
BT Nguyen, DM Nguyen, LST Ho, V Dinh
arXiv preprint arXiv:2105.15024, 2021
32021
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
32021
Posterior concentration and fast convergence rates for generalized Bayesian learning
LST Ho, BT Nguyen, V Dinh, D Nguyen
Information Sciences 538, 372-383, 2020
32020
Consistent feature selection for neural networks via Adaptive Group Lasso
LST Ho, V Dinh
arXiv preprint arXiv:2006.00334, 2020
32020
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Articles 1–20