Useful Takeaway: Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ... Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ...

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Authors: Mohammad Reza Karimi*, Sharif University Erfan Tavakoli, Sharif ... Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...

General Helpful Context

Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ... Title: Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Authors: Huizhi Xie*, Netflix Juliette ... Title: Communication Efficient Distributed Kernel Principal Component Analysis Authors: Yingyu Liang*, Princeton University Bo ...

General What to Know

Title: Communication Efficient Distributed Kernel Principal Component Analysis Authors: Yingyu Liang*, Princeton University Bo ... Title: QUINT: On Query-Specific Optimal Networks Authors: Liangyue Li*, Arizona State University Yuan Yao, Nanjing University ...

Information Planning Tips

Author: Chang Xu, Peking University Abstract: Tail labels in the multi-label learning problem undermine the low-rank assumption. Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...

Quick reference points

  • Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ...
  • Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
  • Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ...
  • Title: QUINT: On Query-Specific Optimal Networks Authors: Liangyue Li*, Arizona State University Yuan Yao, Nanjing University ...
  • Title: Communication Efficient Distributed Kernel Principal Component Analysis Authors: Yingyu Liang*, Princeton University Bo ...
  • Title: Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Authors: Huizhi Xie*, Netflix Juliette ...

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Reference Images

KDD2016 paper 995
KDD2016 paper 295
KDD2016 paper 1085
KDD2016 paper 93
KDD2016 paper 839
Robust Extreme Multi-label Learning
KDD2016 paper 967
KDD2016 paper 975
KDD2016 paper 945
KDD2016 paper 454
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Browse More Notes
KDD2016 paper 995

KDD2016 paper 995

Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ...

KDD2016 paper 295

KDD2016 paper 295

Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ...

KDD2016 paper 1085

KDD2016 paper 1085

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

KDD2016 paper 93

KDD2016 paper 93

Title: Smart Broadcasting: Do you want to be seen? Authors: Mohammad Reza Karimi*, Sharif University Erfan Tavakoli, Sharif ...

KDD2016 paper 839

KDD2016 paper 839

Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...

Robust Extreme Multi-label Learning

Robust Extreme Multi-label Learning

Author: Chang Xu, Peking University Abstract: Tail labels in the multi-label learning problem undermine the low-rank assumption.

KDD2016 paper 967

KDD2016 paper 967

Title: Communication Efficient Distributed Kernel Principal Component Analysis Authors: Yingyu Liang*, Princeton University Bo ...

KDD2016 paper 975

KDD2016 paper 975

Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ...

KDD2016 paper 945

KDD2016 paper 945

Title: Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Authors: Huizhi Xie*, Netflix Juliette ...

KDD2016 paper 454

KDD2016 paper 454

Title: QUINT: On Query-Specific Optimal Networks Authors: Liangyue Li*, Arizona State University Yuan Yao, Nanjing University ...