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33 Results
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Poster
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Tue 10:45 |
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems Han Zhu · Daqing Chang · Ziru Xu · Pengye Zhang · Xiang Li · Jie He · Han Li · Jian Xu · Kun Gai |
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Poster
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Wed 17:00 |
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression Ruidi Chen · Yannis Paschalidis |
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Poster
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Wed 10:45 |
Off-Policy Evaluation via Off-Policy Classification Alexander Irpan · Kanishka Rao · Konstantinos Bousmalis · Chris Harris · Julian Ibarz · Sergey Levine |
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Poster
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Thu 17:00 |
R2D2: Reliable and Repeatable Detector and Descriptor Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel |
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Poster
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Wed 17:00 |
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders Zhibing Zhao · Lirong Xia |
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Poster
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Thu 10:45 |
Learning Nearest Neighbor Graphs from Noisy Distance Samples Blake Mason · Ardhendu Tripathy · Robert Nowak |
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Poster
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Tue 10:45 |
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation Chen Dan · Hong Wang · Hongyang Zhang · Yuchen Zhou · Pradeep Ravikumar |
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Poster
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Wed 17:00 |
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing Jonas Mueller · Vasilis Syrgkanis · Matt Taddy |
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Poster
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Thu 17:00 |
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi |
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Poster
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Wed 17:00 |
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan · Lijun Ding · Yudong Chen · Madeleine Udell |
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Poster
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Wed 17:00 |
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data Han Liu · Zhizhong Han · Yu-Shen Liu · Ming Gu |
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Poster
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Wed 10:45 |
Learning Bayesian Networks with Low Rank Conditional Probability Tables Adarsh Barik · Jean Honorio |