Yingzhen Li
Yingzhen Li
Microsoft Research Cambridge
Email verificata su cam.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
1552018
Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
arXiv preprint arXiv:1710.10628, 2017
1552017
Deep gaussian processes for regression using approximate expectation propagation
T Bui, D Hernández-Lobato, J Hernandez-Lobato, Y Li, R Turner
International Conference on Machine Learning, 1472-1481, 2016
1212016
Rényi divergence variational inference
Y Li, RE Turner
Advances in Neural Information Processing Systems, 1073-1081, 2016
1082016
Black-box α-divergence minimization
JM Hernández-Lobato, Y Li, M Rowland, D Hernández-Lobato, TD Bui, ...
International Machine Learning Society, 2016
1052016
Dropout inference in bayesian neural networks with alpha-divergences
Y Li, Y Gal
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
962017
Stochastic expectation propagation
Y Li, JM Hernández-Lobato, RE Turner
Advances in Neural Information Processing Systems, 2323-2331, 2015
702015
Disentangled Sequential Autoencoder
L Yingzhen, S Mandt
International Conference on Machine Learning, 5656-5665, 2018
48*2018
Gradient Estimators for Implicit Models
Y Li, RE Turner
arXiv preprint arXiv:1705.07107, 2017
342017
Approximate Inference with Amortised MCMC
Y Li, RE Turner, Q Liu
arXiv preprint arXiv:1702.08343, 2017
282017
Variational Implicit Processes
C Ma, Y Li, JM Hernández-Lobato
arXiv preprint arXiv:1806.02390, 2018
142018
Are Generative Classifiers More Robust to Adversarial Attacks?
Y Li, J Bradshaw, Y Sharma
arXiv preprint arXiv:1802.06552, 2018
132018
Variational inference with Rényi divergence
Y Li, RE Turner
stat 1050, 6, 2016
132016
Meta-Learning for Stochastic Gradient MCMC
W Gong, Y Li, JM Hernández-Lobato
arXiv preprint arXiv:1806.04522, 2018
112018
A Deep Generative Model for Disentangled Representations of Sequential Data
Y Li, S Mandt
arXiv preprint arXiv:1803.02991, 2018
102018
Training deep Gaussian processes using stochastic expectation propagation and probabilistic backpropagation
TD Bui, JM Hernández-Lobato, Y Li, D Hernández-Lobato, RE Turner
arXiv preprint arXiv:1511.03405, 2015
102015
Wild Variational Approximations
Y Li, Q Liu
NIPS workshop on advances in approximate Bayesian inference, 2016
92016
Approximate Inference: New Visions
Y Li
University of Cambridge, 2018
72018
Generating ordered list of recommended items: a hybrid recommender system of microblog
Y Li, Y Zhang
arXiv preprint arXiv:1208.4147, 2012
42012
Online Variational Bayesian Inference: Algorithms for Sparse Gaussian Processes and Theoretical Bounds
CV Nguyen, TD Bui, Y Li, RE Turner
ICML 2017 Time Series Workshop, 2017
32017
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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