Search Machine Learning Repository:
All publications by Qiang Liu
authors venues years



Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu and Alexander T. Ihler
Advances in Neural Information Processing Systems 28, 2015


Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John Iii and Alexander T. Ihler
Advances in Neural Information Processing Systems 28, 2015


Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt and Christopher Meek
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Marginal Structured SVM with Hidden Variables
Wei Ping, Qiang Liu and Alex Ihler
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Estimation, Information Loss and Exponential Families
Qiang Liu and Alex T. Ihler
Advances in Neural Information Processing Systems 27, 2014


Variational Planning for Graph-based MDPs
Qiang Cheng, Qiang Liu, Feng Chen and Alex Ihler
Advances in Neural Information Processing Systems 26, 2013


Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler and Mark Steyvers
Advances in Neural Information Processing Systems 26, 2013


Variational Inference for Crowdsourcing
Qiang Liu, Jian Peng and Alex Ihler
Advances in Neural Information Processing Systems 25, 2012


Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu and Alexander T. Ihler
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bounding the Partition Function using Holder's Inequality
Qiang Liu and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Scale Free Networks by Reweighted L1 regularization
Qiang Liu and Alexander T. Ihler
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler and Padhraic Smyth
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning with Blocks: Composite Likelihood and Contrastive Divergence
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler and Padhraic Smyth
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010