Jim C. Huang

Affiliations:
  • eScience Group, Microsoft Research


According to our database1, Jim C. Huang authored at least 15 papers between 2005 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2016
Online optimization and regret guarantees for non-additive long-term constraints.
CoRR, 2016

Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Adaptive Algorithms for Online Convex Optimization with Long-term Constraints.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs.
J. Mach. Learn. Res., 2011

Variable Selection through Correlation Sifting.
Proceedings of the Research in Computational Molecular Biology, 2011

STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010
Maximum-likelihood learning of cumulative distribution functions on graphs.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Exact inference and learning for cumulative distribution functions on loopy graphs.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Cumulative distribution networks and the derivative-sum-product algorithm.
Proceedings of the UAI 2008, 2008

Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3.
Proceedings of the Biocomputing 2008, 2008

Structured ranking learning using cumulative distribution networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data.
J. Comput. Biol., 2007

Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data.
Proceedings of the Research in Computational Molecular Biology, 2006

2005
GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005


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