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Poster
Tue 7:00 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
Julien Hendrickx · Alex Olshevsky · Venkatesh Saligrama
Poster
Tue 9:00 Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna · Prathamesh Patil
Poster
Tue 9:00 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum
Poster
Tue 10:00 SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Poster
Tue 11:00 Optimization and Analysis of the pAp@k Metric for Recommender Systems
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
Poster
Tue 13:00 StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Tue 14:00 Learning Similarity Metrics for Numerical Simulations
Georg Kohl · Kiwon Um · Nils Thuerey
Poster
Wed 5:00 Preference Modeling with Context-Dependent Salient Features
Amanda Bower · Laura Balzano
Poster
Wed 8:00 Choice Set Optimization Under Discrete Choice Models of Group Decisions
Kiran Tomlinson · Austin Benson
Poster
Wed 9:00 Optimal Sequential Maximization: One Interview is Enough!
Moein Falahatgar · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Wed 10:00 The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed 13:00 Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov · Lucas Maystre · Matthias Grossglauser