Zhiming Ma

According to our database1, Zhiming Ma authored at least 35 papers between 2005 and 2019.

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Bibliography

2019
Convergence analysis of distributed stochastic gradient descent with shuffling.
Neurocomputing, 2019

OptQuant: Distributed training of neural networks with optimized quantization mechanisms.
Neurocomputing, 2019

Interpreting Basis Path Set in Neural Networks.
CoRR, 2019

Positively Scale-Invariant Flatness of ReLU Neural Networks.
CoRR, 2019

Off-policy Learning for Multiple Loggers.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

BN-invariant Sharpness Regularizes the Training Model to Better Generalization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Image-to-Tree: A Tree-Structured Decoder for Image Captioning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Target Transfer Q-Learning and Its Convergence Analysis.
CoRR, 2018

Differential Equations for Modeling Asynchronous Algorithms.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


2017
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Asynchronous Stochastic Gradient Descent with Delay Compensation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.
CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Accelerated Stochastic Gradient Descent.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Generalization Analysis for Game-Theoretic Machine Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A New Method for Modeling Coalescent Processes with Recombination.
BMC Bioinformatics, 2014

2011
Page importance computation based on Markov processes.
Inf. Retr., 2011

Efficient simulation under a population genetics model of carcinogenesis.
Bioinformatics, 2011

2010
A framework to compute page importance based on user behaviors.
Inf. Retr., 2010

Two-Layer Generalization Analysis for Ranking Using Rademacher Average.
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

Comparison of Two Algorithms for Computing Page Importance.
Proceedings of the Algorithmic Aspects in Information and Management, 2010

2009
Ranking Measures and Loss Functions in Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Generalization analysis of listwise learning-to-rank algorithms.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A general markov framework for page importance computation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
BrowseRank: letting web users vote for page importance.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Query-level stability and generalization in learning to rank.
Proceedings of the Machine Learning, 2008

2007
Ranking Websites: A Probabilistic View.
Internet Mathematics, 2007

Supervised rank aggregation.
Proceedings of the 16th International Conference on World Wide Web, 2007

2006
AggregateRank: bringing order to web sites.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

2005
Coverage Problem of Wireless Sensor Networks.
Proceedings of the Discrete Geometry, 2005


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