Timezone: »
Poster
Gaussian Process Models for Discriminative Link Prediction
Kai Yu · Wei Chu · Shipeng Yu · Volker Tresp · Zhao Xu
Author Information
Kai Yu (Baidu)
Wei Chu (Ant Group)
Shipeng Yu (University of Munich)
Volker Tresp (Siemens AG)
Zhao Xu
More from the Same Authors
-
2021 : Towards Data-Free Domain Generalization »
Ahmed Frikha · Haokun Chen · Denis Krompaß · Thomas Runkler · Volker Tresp -
2022 : A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion »
Zifeng Ding · Yunpu Ma · Bailan He · Zhen Han · Volker Tresp -
2022 : Analysis of the Attention in Tabular Language Models »
Aneta Koleva · Martin Ringsquandl · Volker Tresp -
2022 : Analysis of the Attention in Tabular Language Models »
Aneta Koleva · Martin Ringsquandl · Volker Tresp -
2019 : Poster Session »
Rishav Chourasia · Yichong Xu · Corinna Cortes · Chien-Yi Chang · Yoshihiro Nagano · So Yeon Min · Benedikt Boecking · Phi Vu Tran · Kamyar Ghasemipour · Qianggang Ding · Shouvik Mani · Vikram Voleti · Rasool Fakoor · Miao Xu · Kenneth Marino · Lisa Lee · Volker Tresp · Jean-Francois Kagy · Marvin Zhang · Barnabas Poczos · Dinesh Khandelwal · Adrien Bardes · Evan Shelhamer · Jiacheng Zhu · Ziming Li · Xiaoyan Li · Dmitrii Krasheninnikov · Ruohan Wang · Mayoore Jaiswal · Emad Barsoum · Suvansh Sanjeev · Theeraphol Wattanavekin · Qizhe Xie · Sifan Wu · Yuki Yoshida · David Kanaa · Sina Khoshfetrat Pakazad · Mehdi Maasoumy -
2014 Poster: Communication Efficient Distributed Machine Learning with the Parameter Server »
Mu Li · David G Andersen · Alexander Smola · Kai Yu -
2014 Poster: Reducing the Rank in Relational Factorization Models by Including Observable Patterns »
Maximilian Nickel · Xueyan Jiang · Volker Tresp -
2014 Spotlight: Reducing the Rank in Relational Factorization Models by Including Observable Patterns »
Maximilian Nickel · Xueyan Jiang · Volker Tresp -
2013 Demonstration: Demos of Deep Learning Technologies at Baidu IDL »
Yi Yang · Kai Yu -
2012 Poster: Deep Learning of invariant features via tracked video sequences »
Will Y Zou · Andrew Y Ng · Shenghuo Zhu · Kai Yu -
2010 Poster: Deep Coding Network »
Yuanqing Lin · Tong Zhang · Shenghuo Zhu · Kai Yu -
2009 Poster: Nonlinear Learning using Local Coordinate Coding »
Kai Yu · Tong Zhang · Yihong Gong -
2008 Workshop: Cost Sensitive Learning »
Balaji R Krishnapuram · Shipeng Yu · Oksana Yakhnenko · R. Bharat Rao · Lawrence Carin -
2008 Poster: Stochastic Relational Models for Large-scale Dyadic Data using MCMC »
Shenghuo Zhu · Kai Yu · Yihong Gong -
2008 Spotlight: Stochastic Relational Models for Large-scale Dyadic Data using MCMC »
Shenghuo Zhu · Kai Yu · Yihong Gong -
2008 Poster: Deep Learning with Kernel Regularization for Visual Recognition »
Kai Yu · Wei Xu · Yihong Gong -
2008 Spotlight: Deep Learning with Kernel Regularization for Visual Recognition »
Kai Yu · Wei Xu · Yihong Gong -
2007 Poster: Bayesian Multi-View Learning »
Shipeng Yu · Balaji R Krishnapuram · Romer E Rosales · Harald Steck · R. Bharat Rao -
2007 Spotlight: Bayesian Multi-View Learning »
Shipeng Yu · Balaji R Krishnapuram · Romer E Rosales · Harald Steck · R. Bharat Rao -
2007 Poster: Hidden Common Cause Relations in Relational Learning »
Ricardo Silva · Wei Chu · Zoubin Ghahramani -
2007 Poster: Gaussian Process Models for Link Analysis and Transfer Learning »
Kai Yu · Wei Chu -
2007 Poster: Predictive Matrix-Variate t Models »
Shenghuo Zhu · Kai Yu · Yihong Gong -
2007 Spotlight: Hidden Common Cause Relations in Relational Learning »
Ricardo Silva · Wei Chu · Zoubin Ghahramani -
2007 Demonstration: Gender and Age Recognition »
Wei Xu · Kai Yu · Yihong Gong -
2006 Poster: Relational Learning with Gaussian Processes »
Wei Chu · Vikas Sindhwani · Zoubin Ghahramani · Sathiya Selvaraj Keerthi