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Oral
Wed Jun 12 06:00 AM -- 06:20 AM (KST) @ Seaside Ballroom
Robust Decision Trees Against Adversarial Examples
In Supervised Learning
Hongge Chen · Huan Zhang · Duane Boning · Cho-Jui Hsieh
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:20 AM -- 06:25 AM (KST) @ Seaside Ballroom
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
In Supervised Learning
Jacob Whitehill · Anand Ramakrishnan
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:25 AM -- 06:30 AM (KST) @ Seaside Ballroom
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
In Supervised Learning
Tahrima Rahman · Shasha Jin · Vibhav Gogate
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:30 AM -- 06:35 AM (KST) @ Seaside Ballroom
Optimal Transport for structured data with application on graphs
In Supervised Learning
Titouan Vayer · Nicolas Courty · Romain Tavenard · Chapel Laetitia · Remi Flamary
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:35 AM -- 06:40 AM (KST) @ Seaside Ballroom
Learning Optimal Linear Regularizers
In Supervised Learning
Matthew Streeter
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:40 AM -- 07:00 AM (KST) @ Seaside Ballroom
On Symmetric Losses for Learning from Corrupted Labels
In Supervised Learning
Nontawat Charoenphakdee · Jongyeong Lee · Masashi Sugiyama
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:00 AM -- 07:05 AM (KST) @ Seaside Ballroom
AUCµ: A Performance Metric for Multi-Class Machine Learning Models
In Supervised Learning
Ross Kleiman · University of Wisconsin David Page
[ Slides] 
Oral
Wed Jun 12 07:05 AM -- 07:10 AM (KST) @ Seaside Ballroom
Regularization in directable environments with application to Tetris
In Supervised Learning
Jan Malte Lichtenberg · Ozgur Simsek
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:10 AM -- 07:15 AM (KST) @ Seaside Ballroom
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
In Supervised Learning
Chunjiang Zhu · Sabine Storandt · Kam-Yiu Lam · Song Han · Jinbo Bi
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:15 AM -- 07:20 AM (KST) @ Seaside Ballroom
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
In Supervised Learning
Xi-Zhu Wu · Song Liu · Zhi-Hua Zhou
[ Slides]  [ Video]