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Oral
Thu Jul 12 09:30 PM -- 09:50 PM (KST) @ K11
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices
In Large Scale Learning and Big Data 2
Zengfeng Huang
[ PDF]  [ Video] 
Oral
Thu Jul 12 09:50 PM -- 10:00 PM (KST) @ K11
Loss Decomposition for Fast Learning in Large Output Spaces
In Large Scale Learning and Big Data 2
En-Hsu Yen · Satyen Kale · Felix Xinnan Yu · Daniel Holtmann-Rice · Sanjiv Kumar · Pradeep Ravikumar
[ PDF]  [ Video] 
Oral
Thu Jul 12 10:00 PM -- 10:10 PM (KST) @ K11
Ultra Large-Scale Feature Selection using Count-Sketches
In Large Scale Learning and Big Data 2
Amirali Aghazadeh · Ryan Spring · Daniel LeJeune · Gautam Dasarathy · Anshumali Shrivastava · Richard Baraniuk
[ PDF]  [ Video] 
Oral
Thu Jul 12 10:10 PM -- 10:20 PM (KST) @ K11
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
In Large Scale Learning and Big Data 2
Shuaiwen Wang · Wenda Zhou · Haihao Lu · Arian Maleki · Vahab Mirrokni
[ PDF]  [ Video] 
Oral
Thu Jul 12 10:20 PM -- 10:30 PM (KST) @ K11
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
In Large Scale Learning and Big Data 2
Tal Wagner · Sudipto Guha · Shiva Kasiviswanathan · Nina Mishra
[ PDF]  [ Video]