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2020 – today
- 2024
[i10]Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen:
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. CoRR abs/2410.22065 (2024)- 2023
- [c10]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: 1510-1521 - [i9]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 abs/2312.00656 (2023) - 2022
- [j4]Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen:
Bayesian active learning with abstention feedbacks. Neurocomputing 471: 242-250 (2022) - [c9]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. ISITA 2022: 139-143 - [i8]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 abs/2209.05709 (2022) - 2021
- [i7]Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. CoRR abs/2105.15024 (2021) - [i6]Lam Si Tung Ho, Vu C. Dinh:
Searching for Minimal Optimal Neural Networks. CoRR abs/2109.13061 (2021) - [i5]Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy Nguyen:
Posterior concentration and fast convergence rates for generalized Bayesian learning. CoRR abs/2111.10243 (2021) - 2020
- [j3]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: 372-383 (2020) - [c8]Vu C. Dinh, Lam Si Tung Ho:
Consistent feature selection for analytic deep neural networks. NeurIPS 2020 - [i4]Lam Si Tung Ho, Vu C. Dinh:
Consistent feature selection for neural networks via Adaptive Group Lasso. CoRR abs/2006.00334 (2020) - [i3]Vu C. Dinh, Lam Si Tung Ho:
Consistent Feature Selection for Analytic Deep Neural Networks. CoRR abs/2010.08097 (2020)
2010 – 2019
- 2019
- [j2]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) - [i2]Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen:
Bayesian Active Learning With Abstention Feedbacks. CoRR abs/1906.02179 (2019) - 2018
- [c7]Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. SoMeT 2018: 883-895 - 2017
- [j1]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): 135-148 (2017) - 2016
- [c6]Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen:
Fast learning rates with heavy-tailed losses. NIPS 2016: 505-513 - [i1]Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen:
Fast learning rates with heavy-tailed losses. CoRR abs/1609.09481 (2016) - 2015
- [c5]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: 375-387 - 2014
- [c4]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: 2851-2856 - 2013
- [c3]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: 264-278 - 2012
- [c2]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: 380-385 - [c1]Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho:
Mel-frequency Cepstral Coefficients for Eye Movement Identification. ICTAI 2012: 253-260
Coauthor Index
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