Članki z zahtevami za javni dostop - Thang D BuiVeč o tem
Na voljo nekje: 11
Black-box α-divergence minimization
JM Hernández-Lobato, Y Li, M Rowland, D Hernández-Lobato, T Bui, ...
Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016
Zahteve: UK Engineering and Physical Sciences Research Council, Government of Spain
Deep Gaussian processes for regression using approximate expectation propagation
TD Bui, D Hernández-Lobato, Y Li, JM Hernández-Lobato, RE Turner
Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016
Zahteve: UK Engineering and Physical Sciences Research Council, Government of Spain
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
TD Bui, J Yan, RE Turner
Journal of Machine Learning Research 18 (104), 1-72, 2017
Zahteve: UK Engineering and Physical Sciences Research Council
Streaming sparse Gaussian process approximations
TD Bui, CV Nguyen, RE Turner
Advances in Neural Information Processing Systems 30 (NeurIPS), 2017
Zahteve: UK Engineering and Physical Sciences Research Council
Learning stationary time series using Gaussian processes with nonparametric kernels
F Tobar, T Bui, R Turner
Advances in Neural Information Processing Systems 28 (NeurIPS), 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Tree-structured Gaussian Process Approximations
TD Bui, RE Turner
Advances in Neural Information Processing Systems, 2213-2221, 2014
Zahteve: UK Engineering and Physical Sciences Research Council
Stochastic variational inference for Gaussian process latent variable models using back constraints
TD Bui, RE Turner
Black Box Learning and Inference NIPS workshop 135, 136-143, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
q-Paths: Generalizing the Geometric Annealing Path using Power Means
V Masrani, R Brekelmans, T Bui, F Nielsen, A Galstyan, GV Steeg, ...
37th Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Zahteve: US Department of Defense, Natural Sciences and Engineering Research Council …
Design of covariance functions using inter-domain inducing variables
F Tobar, TD Bui, RE Turner
NIPS Time Series Workshop, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Online Variational Bayesian Inference: Algorithms for Sparse Gaussian Processes and Theoretical Bounds
CV Nguyen, TD Bui, Y Li, RE Turner
ICML Time Series Workshop, 2017
Zahteve: UK Engineering and Physical Sciences Research Council
Importance weighted autoencoders with random neural network parameters
D Hernández-Lobato, TD Bui, Y Li, JM Hernández-Lobato, RE Turner
Workshop on Bayesian Deep Learning, NIPS 2016, 2016
Zahteve: UK Engineering and Physical Sciences Research Council, Government of Spain
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