Yi Mao

Researcher

Publications

Afficher par:

- Action-dependent Control Variates for Policy Optimization via Stein Identity
  
  Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
  
  ICLR 2018 Conference | February 2018
  
  Publication
- Learning from the Wisdom of Crowds by Minimax Entropy
  
  Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
  
  Advances in Neural Information Processing Systems (NIPS) | December 2012
  
  Advances in Neural Information Processing Systems (NIPS)
  
  Publication Publication Projet
- Generalized Isotonic Conditional Random Fields
  
  Yi Mao, Guy Lebanon
  
  Machine Learning | August 2009
  
  Publication
- Domain Knowledge Uncertainty and Probabilistic Parameter Constraints
  
  Yi Mao, Guy Lebanon
  
  Uncertainty in Artificial Intelligence | June 2009
  
  Publication
- Non-Parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Journal of Machine Learning Research | October 2008
  
  Publication
- Non-parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Advances in Neural Information Processing Systems, 2007 | December 2007
  
  Publication
- Sequential Document Visualization
  
  Yi Mao, Joshua Dillon, Guy Lebanon
  
  IEEE Transactions on Visualization and Computer Graphics | October 2007
  
  Publication
- The Locally Weighted Bag of Words Framework for Document Representation
  
  Guy Lebanon, Yi Mao, Joshua Dillon
  
  Journal of Machine Learning Research | October 2007
  
  Publication
- Statistical Translation, Heat Kernels, and Expected Distances
  
  Joshua Dillon, Yi Mao, Guy Lebanon, Jian Zhang
  
  Uncertainty in Artificial Intelligence | July 2007
  
  Publication
- Isotonic Conditional Random Fields and Local Sentiment Flow
  
  Yi Mao, Guy Lebanon
  
  Advances in Neural Information Processing Systems, 2006 | December 2006
  
  Publication

- Action-dependent Control Variates for Policy Optimization via Stein Identity
  
  Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
  
  ICLR 2018 Conference | February 2018
  
  Publication
- Learning from the Wisdom of Crowds by Minimax Entropy
  
  Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
  
  Advances in Neural Information Processing Systems (NIPS) | December 2012
  
  Advances in Neural Information Processing Systems (NIPS)
  
  Publication Publication Projet
- Generalized Isotonic Conditional Random Fields
  
  Yi Mao, Guy Lebanon
  
  Machine Learning | August 2009
  
  Publication
- Domain Knowledge Uncertainty and Probabilistic Parameter Constraints
  
  Yi Mao, Guy Lebanon
  
  Uncertainty in Artificial Intelligence | June 2009
  
  Publication
- Non-Parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Journal of Machine Learning Research | October 2008
  
  Publication
- Non-parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Advances in Neural Information Processing Systems, 2007 | December 2007
  
  Publication
- The Locally Weighted Bag of Words Framework for Document Representation
  
  Guy Lebanon, Yi Mao, Joshua Dillon
  
  Journal of Machine Learning Research | October 2007
  
  Publication
- Statistical Translation, Heat Kernels, and Expected Distances
  
  Joshua Dillon, Yi Mao, Guy Lebanon, Jian Zhang
  
  Uncertainty in Artificial Intelligence | July 2007
  
  Publication
- Isotonic Conditional Random Fields and Local Sentiment Flow
  
  Yi Mao, Guy Lebanon
  
  Advances in Neural Information Processing Systems, 2006 | December 2006
  
  Publication
- Sequential Document Visualization
  
  Yi Mao, Joshua Dillon, Guy Lebanon
  
  IEEE Transactions on Visualization and Computer Graphics | October 2007
  
  Publication
- Generalized Isotonic Conditional Random Fields
  
  Yi Mao, Guy Lebanon
  
  Machine Learning | August 2009
  
  Publication
- The Locally Weighted Bag of Words Framework for Document Representation
  
  Guy Lebanon, Yi Mao, Joshua Dillon
  
  Journal of Machine Learning Research | October 2007
  
  Publication
- Isotonic Conditional Random Fields and Local Sentiment Flow
  
  Yi Mao, Guy Lebanon
  
  Advances in Neural Information Processing Systems, 2006 | December 2006
  
  Publication

- Action-dependent Control Variates for Policy Optimization via Stein Identity
  
  Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
  
  ICLR 2018 Conference | February 2018
  
  Publication
- Learning from the Wisdom of Crowds by Minimax Entropy
  
  Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
  
  Advances in Neural Information Processing Systems (NIPS) | December 2012
  
  Advances in Neural Information Processing Systems (NIPS)
  
  Publication Publication Projet
- Domain Knowledge Uncertainty and Probabilistic Parameter Constraints
  
  Yi Mao, Guy Lebanon
  
  Uncertainty in Artificial Intelligence | June 2009
  
  Publication
- Non-parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Advances in Neural Information Processing Systems, 2007 | December 2007
  
  Publication
- Isotonic Conditional Random Fields and Local Sentiment Flow
  
  Yi Mao, Guy Lebanon
  
  Advances in Neural Information Processing Systems, 2006 | December 2006
  
  Publication
- Generalized Isotonic Conditional Random Fields
  
  Yi Mao, Guy Lebanon
  
  Machine Learning | August 2009
  
  Publication
- Non-Parametric Modeling of Partially Ranked Data
  
  Guy Lebanon, Yi Mao
  
  Journal of Machine Learning Research | October 2008
  
  Publication
- Sequential Document Visualization
  
  Yi Mao, Joshua Dillon, Guy Lebanon
  
  IEEE Transactions on Visualization and Computer Graphics | October 2007
  
  Publication
- The Locally Weighted Bag of Words Framework for Document Representation
  
  Guy Lebanon, Yi Mao, Joshua Dillon
  
  Journal of Machine Learning Research | October 2007
  
  Publication
- Statistical Translation, Heat Kernels, and Expected Distances
  
  Joshua Dillon, Yi Mao, Guy Lebanon, Jian Zhang
  
  Uncertainty in Artificial Intelligence | July 2007
  
  Publication

Yi Mao

Publications

Action-dependent Control Variates for Policy Optimization via Stein Identity

Learning from the Wisdom of Crowds by Minimax Entropy

Generalized Isotonic Conditional Random Fields

Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

Non-Parametric Modeling of Partially Ranked Data

Non-parametric Modeling of Partially Ranked Data

Sequential Document Visualization

The Locally Weighted Bag of Words Framework for Document Representation

Statistical Translation, Heat Kernels, and Expected Distances

Isotonic Conditional Random Fields and Local Sentiment Flow

Action-dependent Control Variates for Policy Optimization via Stein Identity

Learning from the Wisdom of Crowds by Minimax Entropy

Generalized Isotonic Conditional Random Fields

Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

Non-Parametric Modeling of Partially Ranked Data

Non-parametric Modeling of Partially Ranked Data

The Locally Weighted Bag of Words Framework for Document Representation

Statistical Translation, Heat Kernels, and Expected Distances

Isotonic Conditional Random Fields and Local Sentiment Flow

Sequential Document Visualization

Generalized Isotonic Conditional Random Fields

The Locally Weighted Bag of Words Framework for Document Representation

Isotonic Conditional Random Fields and Local Sentiment Flow

Action-dependent Control Variates for Policy Optimization via Stein Identity

Learning from the Wisdom of Crowds by Minimax Entropy

Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

Non-parametric Modeling of Partially Ranked Data

Isotonic Conditional Random Fields and Local Sentiment Flow

Generalized Isotonic Conditional Random Fields

Non-Parametric Modeling of Partially Ranked Data

Sequential Document Visualization

The Locally Weighted Bag of Words Framework for Document Representation

Statistical Translation, Heat Kernels, and Expected Distances