Useful Context: Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ... Title: Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Authors: Xiang Li*, The University of Georgia Milad ...

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Title: Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Authors: Xiang Li*, The University of Georgia Milad ... Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...

Why It Matters for Readers

Title: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo! Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...

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Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...

Browsing Tips

Title: Latent Space Model for Road Networks to Predict Time-Varying Traffic Authors: Dingxiong Deng, University of Southern ... Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ... Title: Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems Authors: Igor Melnyk*, ...

Main details to review

  • Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...
  • Title: Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems Authors: Igor Melnyk*, ...
  • Title: Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Authors: Xiang Li*, The University of Georgia Milad ...
  • Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...

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KDD2016 paper 864
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KDD2016 paper 1085
KDD2016 paper 853
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KDD2016 paper 864

KDD2016 paper 864

Title: Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Authors: Xiang Li*, The University of Georgia Milad ...

KDD2016 paper 801

KDD2016 paper 801

Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Dennis Fetterly, Google, Inc.

KDD2016 paper 224

KDD2016 paper 224

Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...

KDD2016 paper 819

KDD2016 paper 819

Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...

KDD2016 paper 943

KDD2016 paper 943

Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ...

KDD2016 paper 775

KDD2016 paper 775

Title: Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems Authors: Igor Melnyk*, ...

KDD2016 paper 843

KDD2016 paper 843

Title: Latent Space Model for Road Networks to Predict Time-Varying Traffic Authors: Dingxiong Deng, University of Southern ...

KDD2016 paper 450

KDD2016 paper 450

Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...

KDD2016 paper 1085

KDD2016 paper 1085

Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...

KDD2016 paper 853

KDD2016 paper 853

Title: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo!