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Oral
Fri Jun 14 03:00 AM -- 03:20 AM (KST) @ Room 201
Scaling Up Ordinal Embedding: A Landmark Approach
In Ranking and Preference Learning
Jesse Anderton · Javed Aslam
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:20 AM -- 03:25 AM (KST) @ Room 201
Learning to select for a predefined ranking
In Ranking and Preference Learning
Aleksei Ustimenko · Aleksandr Vorobev · Gleb Gusev · Pavel Serdyukov
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:25 AM -- 03:30 AM (KST) @ Room 201
Mallows ranking models: maximum likelihood estimate and regeneration
In Ranking and Preference Learning
Wenpin Tang
Oral
Fri Jun 14 03:30 AM -- 03:35 AM (KST) @ Room 201
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
In Ranking and Preference Learning
Chenyang ZHANG · Guosheng Yin
Oral
Fri Jun 14 03:35 AM -- 03:40 AM (KST) @ Room 201
Fast Algorithm for Generalized Multinomial Models with Ranking Data
In Ranking and Preference Learning
Jiaqi Gu · Guosheng Yin
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:40 AM -- 04:00 AM (KST) @ Room 201
Graph Resistance and Learning from Pairwise Comparisons
In Ranking and Preference Learning
Julien Hendrickx · Alex Olshevsky · Venkatesh Saligrama
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:00 AM -- 04:05 AM (KST) @ Room 201
Learning Context-dependent Label Permutations for Multi-label Classification
In Ranking and Preference Learning
Jinseok Nam · Young-Bum Kim · Eneldo Loza Mencia · Sunghyun Park · Ruhi Sarikaya · Johannes Fürnkranz
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:05 AM -- 04:10 AM (KST) @ Room 201
Discovering Context Effects from Raw Choice Data
In Ranking and Preference Learning
Arjun Seshadri · Alexander Peysakhovich · Johan Ugander
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:10 AM -- 04:15 AM (KST) @ Room 201
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
In Ranking and Preference Learning
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:15 AM -- 04:20 AM (KST) @ Room 201
Learning Distance for Sequences by Learning a Ground Metric
In Ranking and Preference Learning
Bing Su · Ying Wu
[ Slides]  [ Oral]