Vu C. Dinh

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 18

Top Topics

Nonlinear Model Predictive Control

Convergence Rate

Gaussian Kernels

Top Venues

Publications

Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
Simple Transferability Estimation for Regression Tasks. UAI (2023)
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
Simple Transferability Estimation for Regression Tasks. CoRR (2023)
Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. CoRR (2022)
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
Bayesian active learning with abstention feedbacks. Neurocomputing 471 (2022)
Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy Nguyen
Posterior concentration and fast convergence rates for generalized Bayesian learning. CoRR (2021)
Lam Si Tung Ho, Vu C. Dinh
Searching for Minimal Optimal Neural Networks. CoRR (2021)
Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho, Vu C. Dinh
OASIS: An Active Framework for Set Inversion. CoRR (2021)
Vu C. Dinh, Lam Si Tung Ho
Consistent Feature Selection for Analytic Deep Neural Networks. CoRR (2020)
Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen
Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. 538 (2020)
Lam Si Tung Ho, Vu C. Dinh
Consistent feature selection for neural networks via Adaptive Group Lasso. CoRR (2020)
Vu C. Dinh, Lam Si Tung Ho
Consistent feature selection for analytic deep neural networks. NeurIPS (2020)
Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
An active learning framework for set inversion. Knowl. Based Syst. 185 (2019)
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh Nguyen
Bayesian Active Learning With Abstention Feedbacks. CoRR (2019)
Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
OASIS: An Active Framework for Set Inversion. SoMeT (2018)
Ankush Chakrabarty, Vu C. Dinh, Martin J. Corless, Ann E. Rundell, Stanislaw H. Zak, Gregery T. Buzzard
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. IEEE Trans. Autom. Control. 62 (1) (2017)
Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen
Fast learning rates with heavy-tailed losses. NIPS (2016)
Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen
Fast learning rates with heavy-tailed losses. CoRR (2016)
Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC (2015)
Ankush Chakrabarty, Vu C. Dinh, Gregery T. Buzzard, Stanislaw H. Zak, Ann E. Rundell
Robust explicit nonlinear model predictive control with integral sliding mode. ACC (2014)
Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh
Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. ALT (2013)
Jeffrey P. Perley, Judith Mikolajczak, Vu C. Dinh, Marietta L. Harrison, Gregery T. Buzzard, Ann E. Rundell
Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design. CDC (2012)
Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho
Mel-frequency Cepstral Coefficients for Eye Movement Identification. ICTAI (2012)