Folgen
Wu Lin
Titel
Zitiert von
Zitiert von
Jahr
Fast and scalable bayesian deep learning by weight-perturbation in adam
M Khan, D Nielsen, V Tangkaratt, W Lin, Y Gal, A Srivastava
International Conference on Machine Learning, 2611-2620, 2018
1842018
Conjugate-computation variational inference: Converting variational inference in non-conjugate models to inferences in conjugate models
M Khan, W Lin
Artificial Intelligence and Statistics, 878-887, 2017
902017
Variational message passing with structured inference networks
W Lin, N Hubacher, ME Khan
arXiv preprint arXiv:1803.05589, 2018
432018
Faster stochastic variational inference using proximal-gradient methods with general divergence functions
ME Khan, R Babanezhad, W Lin, M Schmidt, M Sugiyama
arXiv preprint arXiv:1511.00146, 2015
342015
Fast and simple natural-gradient variational inference with mixture of exponential-family approximations
W Lin, ME Khan, M Schmidt
International Conference on Machine Learning, 3992-4002, 2019
282019
Handling the positive-definite constraint in the bayesian learning rule
W Lin, M Schmidt, ME Khan
International Conference on Machine Learning, 6116-6126, 2020
122020
Variational adaptive-Newton method for explorative learning
ME Khan, W Lin, V Tangkaratt, Z Liu, D Nielsen
arXiv preprint arXiv:1711.05560, 2017
122017
Tractable structured natural-gradient descent using local parameterizations
W Lin, F Nielsen, KM Emtiyaz, M Schmidt
International Conference on Machine Learning, 6680-6691, 2021
92021
Convergence of proximal-gradient stochastic variational inference under non-decreasing step-size sequence
ME Khan, R Babanezhad, W Lin, M Schmidt, M Sugiyama
arXiv preprint arXiv:1511.00146, 2015
92015
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
W Lin, ME Khan, M Schmidt
arXiv preprint arXiv:1910.13398, 2019
72019
WaterlooClarke: TREC 2015 Total Recall Track.
H Zhang, W Lin, Y Wang, CLA Clarke, MD Smucker
TREC, 2015
72015
Structured second-order methods via natural gradient descent
W Lin, F Nielsen, ME Khan, M Schmidt
arXiv preprint arXiv:2107.10884, 2021
12021
Natural-Gradient Stochastic Variational Inference for Non-Conjugate Structured Variational Autoencoder
W Lin, ME Khan, N Hubacher, D Nielsen
12017
Introduction to Natural-gradient Descent: Part I
W Lin, F Nielsen, ME Khan, M Schmidt
https://yorkerlin.github.io/posts/2021/09/Geomopt01/, 2021
2021
Variational Inference on Deep Exponential Family by using Variational Inferences on Conjugate Models
ME Khan, W Lin
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–15