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Oral
Tue Jun 11th 02:00 -- 02:20 PM @ Seaside Ballroom
Robust Decision Trees Against Adversarial Examples
Hongge Chen · Huan Zhang · Duane Boning · Cho-Jui Hsieh
Oral
Tue Jun 11th 02:20 -- 02:25 PM @ Seaside Ballroom
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
Jacob Whitehill · Anand Ramakrishnan
Oral
Tue Jun 11th 02:25 -- 02:30 PM @ Seaside Ballroom
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
Tahrima Rahman · Shasha Jin · Vibhav Gogate
Oral
Tue Jun 11th 02:30 -- 02:35 PM @ Seaside Ballroom
Optimal Transport for structured data with application on graphs
Titouan Vayer · Nicolas Courty · Romain Tavenard · Chapel Laetitia · Remi Flamary
Oral
Tue Jun 11th 02:35 -- 02:40 PM @ Seaside Ballroom
Learning Optimal Linear Regularizers
Matthew Streeter
Oral
Tue Jun 11th 02:40 -- 03:00 PM @ Seaside Ballroom
On Symmetric Losses for Learning from Corrupted Labels
Nontawat Charoenphakdee · Jongyeong Lee · Masashi Sugiyama
Oral
Tue Jun 11th 03:00 -- 03:05 PM @ Seaside Ballroom
AUCĀµ: A Performance Metric for Multi-Class Machine Learning Models
Ross Kleiman · University of Wisconsin David Page
Oral
Tue Jun 11th 03:05 -- 03:10 PM @ Seaside Ballroom
Regularization in directable environments with application to Tetris
Jan Malte Lichtenberg · Ozgur Simsek
Oral
Tue Jun 11th 03:10 -- 03:15 PM @ Seaside Ballroom
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
Chunjiang Zhu · Sabine Storandt · Kam-Yiu Lam · Song Han · Jinbo Bi
Oral
Tue Jun 11th 03:15 -- 03:20 PM @ Seaside Ballroom
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
Xi-Zhu Wu · Song Liu · Zhi-Hua Zhou