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Oral
Tue Jun 11th 11:00 -- 11:20 AM @ Seaside Ballroom
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani · James Zou
Oral
Tue Jun 11th 11:20 -- 11:25 AM @ Seaside Ballroom
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
Sergul Aydore · Thirion Bertrand · Gael Varoquaux
Oral
Tue Jun 11th 11:25 -- 11:30 AM @ Seaside Ballroom
Metric-Optimized Example Weights
Sen Zhao · Mahdi Milani Fard · Harikrishna Narasimhan · Maya Gupta
Oral
Tue Jun 11th 11:30 -- 11:35 AM @ Seaside Ballroom
Improving Model Selection by Employing the Test Data
Max Westphal · Werner Brannath
Oral
Tue Jun 11th 11:35 -- 11:40 AM @ Seaside Ballroom
Topological Data Analysis of Decision Boundaries with Application to Model Selection
Karthikeyan Ramamurthy · Kush Varshney · Krishnan Mody
Oral
Tue Jun 11th 11:40 AM -- 12:00 PM @ Seaside Ballroom
Contextual Memory Trees
Wen Sun · Alina Beygelzimer · Hal Daume · John Langford · Paul Mineiro
Oral
Tue Jun 11th 12:00 -- 12:05 PM @ Seaside Ballroom
Sparse Extreme Multi-label Learning with Oracle Property
Weiwei Liu · Xiaobo Shen
Oral
Tue Jun 11th 12:05 -- 12:10 PM @ Seaside Ballroom
Shape Constraints for Set Functions
Andrew Cotter · Maya Gupta · Heinrich Jiang · Erez Louidor · James Muller · Tamann Narayan · Serena Wang · Tao Zhu
Oral
Tue Jun 11th 12:10 -- 12:15 PM @ Seaside Ballroom
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen · Daphna Weinshall
Oral
Tue Jun 11th 12:15 -- 12:20 PM @ Seaside Ballroom
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
Vladislav Polianskii · Florian Pokorny