עקוב אחר
Yingzhen Li
Yingzhen Li
Imperial College London
כתובת אימייל מאומתת בדומיין imperial.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Variational Continual Learning‏
CV Nguyen, Y Li, TD Bui, RE Turner‏
8322018
Variational Continual Learning‏
CV Nguyen, Y Li, TD Bui, RE Turner‏
arXiv preprint arXiv:1710.10628, 2017‏
8322017
Rényi divergence variational inference‏
Y Li, RE Turner‏
Advances in Neural Information Processing Systems, 1073-1081, 2016‏
3422016
Disentangled Sequential Autoencoder‏
L Yingzhen, S Mandt‏
International Conference on Machine Learning, 5656-5665, 2018‏
328*2018
Black-box α-divergence minimization‏
JM Hernández-Lobato, Y Li, M Rowland, D Hernández-Lobato, TD Bui, ...‏
International Machine Learning Society, 2016‏
2782016
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
2722016
Dropout inference in bayesian neural networks with alpha-divergences‏
Y Li, Y Gal‏
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017‏
2442017
Generalization in reinforcement learning with selective noise injection and information bottleneck‏
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann‏
Advances in Neural Information Processing Systems, 13978-13990, 2019‏
1952019
Stochastic expectation propagation‏
Y Li, JM Hernández-Lobato, RE Turner‏
Advances in Neural Information Processing Systems, 2323-2331, 2015‏
1582015
On the expressiveness of approximate inference in bayesian neural networks‏
A Foong, D Burt, Y Li, R Turner‏
Advances in Neural Information Processing Systems 33, 2020‏
1342020
'In-Between'Uncertainty in Bayesian Neural Networks‏
AYK Foong, Y Li, JM Hernández-Lobato, RE Turner‏
arXiv preprint arXiv:1906.11537, 2019‏
1282019
Gradient Estimators for Implicit Models‏
Y Li, RE Turner‏
arXiv preprint arXiv:1705.07107, 2017‏
1122017
Are generative classifiers more robust to adversarial attacks?‏
Y Li, J Bradshaw, Y Sharma‏
International Conference on Machine Learning, 3804-3814, 2019‏
1082019
A causal view on robustness of neural networks‏
C Zhang, K Zhang, Y Li‏
Advances in Neural Information Processing Systems 33, 289-301, 2020‏
912020
Variational implicit processes‏
C Ma, Y Li, JM Hernández-Lobato‏
International Conference on Machine Learning, 4222-4233, 2019‏
812019
Approximate Inference with Amortised MCMC‏
Y Li, RE Turner, Q Liu‏
arXiv preprint arXiv:1702.08343, 2017‏
682017
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data‏
S Lunz, Y Li, A Fitzgibbon, N Kushman‏
arXiv preprint arXiv:2002.12674, 2020‏
662020
Meta-Learning for Stochastic Gradient MCMC‏
W Gong, Y Li, JM Hernández-Lobato‏
arXiv preprint arXiv:1806.04522, 2018‏
502018
Sliced Kernelized Stein Discrepancy‏
W Gong, Y Li, JM Hernández-Lobato‏
arXiv preprint arXiv:2006.16531, 2020‏
442020
On the importance of the Kullback-Leibler divergence term in variational autoencoders for text generation‏
V Prokhorov, E Shareghi, Y Li, MT Pilehvar, N Collier‏
arXiv preprint arXiv:1909.13668, 2019‏
432019
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מאמרים 1–20