Dengyong Zhou

According to our database1, Dengyong Zhou authored at least 57 papers between 2003 and 2018.

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Bibliography

2018
Neural Phrase-to-Phrase Machine Translation.
CoRR, 2018

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation.
CoRR, 2018

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Discrimination-Generalization Tradeoff in GANs.
Proceedings of the 6th International Conference on Learning Representations, 2018

Action-dependent Control Variates for Policy Optimization via Stein Identity.
Proceedings of the 6th International Conference on Learning Representations, 2018

Towards Neural Phrase-based Machine Translation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
On the Discrimination-Generalization Tradeoff in GANs.
CoRR, 2017

Sample-efficient Policy Optimization with Stein Control Variate.
CoRR, 2017

Sequence Modeling via Segmentations.
CoRR, 2017

Provable Optimal Algorithms for Generalized Linear Contextual Bandits.
CoRR, 2017

Neural Phrase-based Machine Translation.
CoRR, 2017

Stochastic Variance Reduction Methods for Policy Evaluation.
CoRR, 2017

Hierarchical learning for automated malware classification.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Sequence Modeling via Segmentations.
Proceedings of the 34th International Conference on Machine Learning, 2017

Provably Optimal Algorithms for Generalized Linear Contextual Bandits.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Variance Reduction Methods for Policy Evaluation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Neuro-Symbolic Program Synthesis.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing.
J. Mach. Learn. Res., 2016

Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing.
J. Mach. Learn. Res., 2016

Neuro-Symbolic Program Synthesis.
CoRR, 2016

No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Exact Exponent in Optimal Rates for Crowdsourcing.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Statistical decision making for optimal budget allocation in crowd labeling.
J. Mach. Learn. Res., 2015

Regularized Minimax Conditional Entropy for Crowdsourcing.
CoRR, 2015

Approval Voting and Incentives in Crowdsourcing.
CoRR, 2015

Approval Voting and Incentives in Crowdsourcing.
Proceedings of the 32nd International Conference on Machine Learning, 2015

On the Impossibility of Convex Inference in Human Computation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
On the Impossibility of Convex Inference in Human Computation.
CoRR, 2014

Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing.
CoRR, 2014

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling.
CoRR, 2014

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Error Rate Bounds in Crowdsourcing Models.
CoRR, 2013

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Query suggestion by constructing term-transition graphs.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning from the Wisdom of Crowds by Minimax Entropy.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Recommender systems with social regularization.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Post-ranking query suggestion by diversifying search results.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Hierarchical Classification via Orthogonal Transfer.
Proceedings of the 28th International Conference on Machine Learning, 2011

2009
On evolutionary spectral clustering.
TKDD, 2009

Product query classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Query suggestion using hitting time.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Semi-Supervised Graph-Based Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2007

Evolutionary spectral clustering by incorporating temporal smoothness.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Spectral clustering and transductive learning with multiple views.
Proceedings of the Machine Learning, 2007

Transductive Link Spam Detection.
Proceedings of the AIRWeb 2007, 2007

2006
Information Marginalization on Subgraphs.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Learning with Hypergraphs: Clustering, Classification, and Embedding.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Discrete Regularization.
Proceedings of the Semi-Supervised Learning, 2006

2005
Semi-supervised protein classification using cluster kernels.
Bioinformatics, 2005

Learning from labeled and unlabeled data on a directed graph.
Proceedings of the Machine Learning, 2005

Regularization on Discrete Spaces.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
Semi-supervised Learning on Directed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning from Labeled and Unlabeled Data Using Random Walks.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Ranking on Data Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning with Local and Global Consistency.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Semi-supervised Protein Classification Using Cluster Kernels.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


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