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Oral
Wed Jun 12 03:00 AM -- 03:20 AM (KST) @ Seaside Ballroom
Data Shapley: Equitable Valuation of Data for Machine Learning
In Supervised Learning
Amirata Ghorbani · James Zou
[ Video] 
Oral
Wed Jun 12 03:20 AM -- 03:25 AM (KST) @ Seaside Ballroom
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
In Supervised Learning
Sergul Aydore · Thirion Bertrand · Gael Varoquaux
[ Slides]  [ Video] 
Oral
Wed Jun 12 03:25 AM -- 03:30 AM (KST) @ Seaside Ballroom
Metric-Optimized Example Weights
In Supervised Learning
Sen Zhao · Mahdi Milani Fard · Harikrishna Narasimhan · Maya Gupta
[ Slides]  [ Video] 
Oral
Wed Jun 12 03:30 AM -- 03:35 AM (KST) @ Seaside Ballroom
Improving Model Selection by Employing the Test Data
In Supervised Learning
Max Westphal · Werner Brannath
[ Slides]  [ Video] 
Oral
Wed Jun 12 03:35 AM -- 03:40 AM (KST) @ Seaside Ballroom
Topological Data Analysis of Decision Boundaries with Application to Model Selection
In Supervised Learning
Karthikeyan Ramamurthy · Kush Varshney · Krishnan Mody
[ Slides]  [ Video] 
Oral
Wed Jun 12 03:40 AM -- 04:00 AM (KST) @ Seaside Ballroom
Contextual Memory Trees
In Supervised Learning
Wen Sun · Alina Beygelzimer · Hal Daumé III · John Langford · Paul Mineiro
[ Video] 
Oral
Wed Jun 12 04:00 AM -- 04:05 AM (KST) @ Seaside Ballroom
Sparse Extreme Multi-label Learning with Oracle Property
In Supervised Learning
Weiwei Liu · Xiaobo Shen
[ Slides]  [ Video] 
Oral
Wed Jun 12 04:05 AM -- 04:10 AM (KST) @ Seaside Ballroom
Shape Constraints for Set Functions
In Supervised Learning
Andrew Cotter · Maya Gupta · Heinrich Jiang · Erez Louidor · James Muller · Taman Narayan · Serena Wang · Tao Zhu
[ Slides]  [ Video] 
Oral
Wed Jun 12 04:10 AM -- 04:15 AM (KST) @ Seaside Ballroom
On The Power of Curriculum Learning in Training Deep Networks
In Supervised Learning
Guy Hacohen · Daphna Weinshall
[ Slides]  [ Video] 
Oral
Wed Jun 12 04:15 AM -- 04:20 AM (KST) @ Seaside Ballroom
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
In Supervised Learning
Vladislav Polianskii · Florian T. Pokorny
[ Slides]  [ Video]