Qiang Liu
Qiang Liu
Assistant Professor of Computer Science, UT Austin
Adresse e-mail validée de cs.utexas.edu - Page d'accueil
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Stein variational gradient descent: A general purpose Bayesian inference algorithm
Q Liu, D Wang
Advances In Neural Information Processing Systems, 2370-2378, 2016
3652016
Variational inference for crowdsourcing
Q Liu, J Peng, AT Ihler
Advances in Neural Information Processing Systems, 692-700, 2012
3132012
A kernelized Stein discrepancy for goodness-of-fit tests
Q Liu, J Lee, M Jordan
International conference on machine learning, 276-284, 2016
1882016
Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis
M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ...
Proceedings of the National Academy of Sciences 109 (29), 11758-11763, 2012
1762012
Breaking the curse of horizon: Infinite-horizon off-policy estimation
Q Liu, L Li, Z Tang, D Zhou
arXiv preprint arXiv:1810.12429, 2018
962018
Aggregating ordinal labels from crowds by minimax conditional entropy
D Zhou, Q Liu, J Platt, C Meek
International conference on machine learning, 262-270, 2014
962014
Stein variational gradient descent as gradient flow
Q Liu
Advances in neural information processing systems, 3115-3123, 2017
912017
Learning scale free networks by reweighted l1 regularization
Q Liu, A Ihler
Proceedings of the Fourteenth International Conference on Artificial …, 2011
872011
Practical human sensing in the light
T Li, Q Liu, X Zhou
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
802016
Variational algorithms for marginal MAP
Q Liu, A Ihler
The Journal of Machine Learning Research 14 (1), 3165-3200, 2013
782013
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
D Wang, Q Liu
arXiv preprint arXiv:1611.01722, 2016
762016
Stein Variational Policy Gradient
Y Liu, P Ramachandran, Q Liu, J Peng
arXiv preprint arXiv:1704.02399, 2017
722017
Communication-efficient Sparse Regression
JD Lee, Q Liu, Y Sun, JE Taylor
Journal of Machine Learning Research 18 (5), 1-30, 2017
672017
Bounding the Partition Function using Holder's Inequality
Q Liu, AT Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
652011
Scoring workers in crowdsourcing: How many control questions are enough?
Q Liu, AT Ihler, M Steyvers
Advances in Neural Information Processing Systems, 1914-1922, 2013
572013
On the Margin Theory of Feedforward Neural Networks
C Wei, JD Lee, Q Liu, T Ma
arXiv preprint arXiv:1810.05369, 2018
532018
Communication-efficient sparse regression: a one-shot approach
JD Lee, Y Sun, Q Liu, JE Taylor
arXiv preprint arXiv:1503.04337, 2015
522015
Regularization matters: Generalization and optimization of neural nets vs their induced kernel
C Wei, JD Lee, Q Liu, T Ma
Advances in Neural Information Processing Systems, 9709-9721, 2019
502019
An optimization view on dynamic routing between capsules
D Wang, Q Liu
472018
Action-dependent control variates for policy optimization via stein identity
H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu
452018
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