Vu C. Dinh

According to our database1, Vu C. Dinh authored at least 19 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient.
CoRR, 2024

2023
Simple Transferability Estimation for Regression Tasks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Bayesian active learning with abstention feedbacks.
Neurocomputing, 2022

Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy.
Proceedings of the International Symposium on Information Theory and Its Applications, 2022

2021
Posterior concentration and fast convergence rates for generalized Bayesian learning.
CoRR, 2021

Searching for Minimal Optimal Neural Networks.
CoRR, 2021

OASIS: An Active Framework for Set Inversion.
CoRR, 2021

2020
Posterior concentration and fast convergence rates for generalized Bayesian learning.
Inf. Sci., 2020

Consistent feature selection for neural networks via Adaptive Group Lasso.
CoRR, 2020

Consistent feature selection for analytic deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
An active learning framework for set inversion.
Knowl. Based Syst., 2019

2018
OASIS: An Active Framework for Set Inversion.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences.
IEEE Trans. Autom. Control., 2017

2016
Fast learning rates with heavy-tailed losses.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers.
Proceedings of the Theory and Applications of Models of Computation, 2015

2014
Robust explicit nonlinear model predictive control with integral sliding mode.
Proceedings of the American Control Conference, 2014

2013
Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012
Mel-frequency Cepstral Coefficients for Eye Movement Identification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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