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33 Results
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Poster
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Thu 17:00 |
Policy Learning for Fairness in Ranking Ashudeep Singh · Thorsten Joachims |
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Poster
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Tue 10:45 |
Combinatorial Bandits with Relative Feedback Aadirupa Saha · Aditya Gopalan |
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Workshop
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Fri 14:00 |
Learning-Based Low-Rank Approximations Piotr Indyk |
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Poster
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Wed 17:00 |
Multilabel reductions: what is my loss optimising? Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar |
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Poster
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Wed 17:00 |
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking Sumeet Katariya · Ardhendu Tripathy · Robert Nowak |
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Poster
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Tue 10:45 |
Landmark Ordinal Embedding Nikhil Ghosh · Yuxin Chen · Yisong Yue |
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Poster
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Tue 10:45 |
Learning-Based Low-Rank Approximations Piotr Indyk · Ali Vakilian · Yang Yuan |
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Poster
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Wed 10:45 |
Multiclass Performance Metric Elicitation Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Sanmi Koyejo |
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Poster
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Wed 17:00 |
Learning Sample-Specific Models with Low-Rank Personalized Regression Ben Lengerich · Bryon Aragam · Eric Xing |
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Poster
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Tue 10:45 |
Foundations of Comparison-Based Hierarchical Clustering Debarghya Ghoshdastidar · Michaël Perrot · Ulrike von Luxburg |
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Poster
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Wed 17:00 |
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons Wenbo Ren · Jia (Kevin) Liu · Ness Shroff |
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Poster
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Wed 10:45 |
Learning to Screen Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran |