Chang Liu
Chang Liu
Microsoft Research Asia
Verified email at - Homepage
Cited by
Cited by
Riemannian Stein Variational Gradient Descent for Bayesian Inference
C Liu, J Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Message Passing Stein Variational Gradient Descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 2018
Understanding and Accelerating Particle-Based Variational Inference
C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin
International Conference on Machine Learning, 4082--4092, 2019
Stochastic Gradient Geodesic MCMC Methods
C Liu, J Zhu, Y Song
Advances in Neural Information Processing Systems, 3009-3017, 2016
Invertible image rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
European Conference on Computer Vision, 126-144, 2020
Variational Annealing of GANs: A Langevin Perspective
C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ...
International Conference on Machine Learning, 6176-6185, 2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow
P Cheng, C Liu, C Li, D Shen, R Henao, L Carin
NeurIPS 2018 Bayesian Deep Learning Workshop, 2018
Modeling Lost Information in Lossy Image Compression
Y Wang, M Xiao, C Liu, S Zheng, TY Liu
arXiv preprint arXiv:2006.11999, 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction
C Liu, X Sun, J Wang, H Tang, T Li, T Qin, W Chen, TY Liu
arXiv preprint arXiv:2011.01681, 2020
Understanding MCMC Dynamics as Flows on the Wasserstein Space
C Liu, J Zhuo, J Zhu
International Conference on Machine Learning, 4093--4103, 2019
Latent Causal Invariant Model
X Sun, B Wu, C Liu, X Zheng, W Chen, T Qin, TY Liu
arXiv preprint arXiv:2011.02203, 2020
Generalizing to Unseen Domains: A Survey on Domain Generalization
J Wang, C Lan, C Liu, Y Ouyang, W Zeng, T Qin
arXiv preprint arXiv:2103.03097, 2021
Learning to Match Distributions for Domain Adaptation
C Yu, J Wang, C Liu, T Qin, R Xu, W Feng, Y Chen, TY Liu
arXiv preprint arXiv:2007.10791, 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
MH Zhu, C Liu, J Zhu
International Conference on Machine Learning, 9500--9511, 2020
Learning Invariant Representations across Domains and Tasks
J Wang, W Feng, C Liu, C Yu, M Du, R Xu, T Qin, TY Liu
arXiv preprint arXiv:2103.05114, 2021
Sampling Methods on Manifolds and Their View from Probability Manifolds
C Liu
The system can't perform the operation now. Try again later.
Articles 1–16