Quick Context: Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc.
Kdd2016 Paper 808 - Reference Map
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Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc.
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Title: A Multi-Task Learning Formulation for Survival Analysis Authors: Yan Li*, Wayne State University Jie Wang, University of ... Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ... Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...
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Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ... Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...
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Title: Skinny-dip: Clustering in a Sea of Noise Authors: Samuel Maurus, Helmholtz Zentrum München Claudia Plant, Helmholtz ... Title: Portfolio Selections in P2P Lending: A Multi-Objective Perspective Authors: Hongke Zhao*, University of Science and ... Title: Just One More: Modeling Binge Watching Behavior Authors: William Trouleau*, EPFL Azin Ashkan, Technicolor Research ...
Key points worth scanning
- Title: Just One More: Modeling Binge Watching Behavior Authors: William Trouleau*, EPFL Azin Ashkan, Technicolor Research ...
- Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc.
- Title: A Multi-Task Learning Formulation for Survival Analysis Authors: Yan Li*, Wayne State University Jie Wang, University of ...
- Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ...
- Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...
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