Vu C. Dinh - RankMe

25 papers A* 2A 1B 2C 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. NeurIPS Vu C. Dinh, Lam S. Ho, Cuong V. Nguyen
2024	J	`jnl`	Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. CoRR Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen
2023	A	`conf`	Simple Transferability Estimation for Regression Tasks. UAI Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
2023	J	`jnl`	Simple Transferability Estimation for Regression Tasks. CoRR Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
2022	J	`jnl`	Bayesian active learning with abstention feedbacks. Neurocomputing Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2022	C	`conf`	Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. ISITA Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
2022	J	`jnl`	Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. CoRR Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
2021	J	`jnl`	OASIS: An Active Framework for Set Inversion. CoRR Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2021	J	`jnl`	Posterior concentration and fast convergence rates for generalized Bayesian learning. CoRR Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy Nguyen
2021	J	`jnl`	Searching for Minimal Optimal Neural Networks. CoRR Lam Si Tung Ho, Vu C. Dinh
2020	J	`jnl`	Consistent Feature Selection for Analytic Deep Neural Networks. CoRR Vu C. Dinh, Lam Si Tung Ho
2020	A*	`conf`	Consistent feature selection for analytic deep neural networks. NeurIPS Vu C. Dinh, Lam Si Tung Ho
2020	J	`jnl`	Consistent feature selection for neural networks via Adaptive Group Lasso. CoRR Lam Si Tung Ho, Vu C. Dinh
2020	J	`jnl`	Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen
2019	J	`jnl`	An active learning framework for set inversion. Knowl. Based Syst. Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2019	J	`jnl`	Bayesian Active Learning With Abstention Feedbacks. CoRR Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2018	C	`conf`	OASIS: An Active Framework for Set Inversion. SoMeT Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2017	J	`jnl`	Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. IEEE Trans. Autom. Control. Ankush Chakrabarty, Vu C. Dinh, Martin J. Corless, Ann E. Rundell, Stanislaw H. Zak, Gregery T. Buzzard
2016	—	`conf`	Fast learning rates with heavy-tailed losses. NIPS Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen
2016	J	`jnl`	Fast learning rates with heavy-tailed losses. CoRR Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen
2015	C	`conf`	Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen
2014	C	`conf`	Robust explicit nonlinear model predictive control with integral sliding mode. ACC Ankush Chakrabarty, Vu C. Dinh, Gregery T. Buzzard, Stanislaw H. Zak, Ann E. Rundell
2013	B	`conf`	Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. ALT Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh
2012	B	`conf`	Mel-frequency Cepstral Coefficients for Eye Movement Identification. ICTAI Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho
2012	—	`conf`	Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design. CDC Jeffrey P. Perley, Judith Mikolajczak, Vu C. Dinh, Marietta L. Harrison, Gregery T. Buzzard, Ann E. Rundell