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Poster
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Mon 9:00
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The Limits of Learning with Missing Data
Brian Bullins · Elad Hazan · Tomer Koren
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Poster
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Mon 9:00
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A Bandit Framework for Strategic Regression
Yang Liu · Yiling Chen
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Workshop
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Fri 2:00
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Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Jennifer Hill
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Poster
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Mon 9:00
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Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu Jain · Martha White · Predrag Radivojac
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Workshop
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Sat 5:20
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Bootstrapping Incremental Dialogue Systems: Using Linguistic Knowledge to Learn from Minimal Data
Dimitriοs Kalatzis · Arash Eshghi
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Poster
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Mon 9:00
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FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li · Soeren Pirk · Hao Su · Charles R Qi · Leonidas Guibas
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Poster
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Tue 9:00
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Feature selection in functional data classification with recursive maxima hunting
José L. Torrecilla · Alberto Suárez
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Oral
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Wed 1:40
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Large-Scale Price Optimization via Network Flow
Shinji Ito · Ryohei Fujimaki
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Poster
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Wed 9:00
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Large-Scale Price Optimization via Network Flow
Shinji Ito · Ryohei Fujimaki
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Poster
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Wed 9:00
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A scaled Bregman theorem with applications
Richard Nock · Aditya Menon · Cheng Soon Ong
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Poster
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Mon 9:00
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Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay · Marco Cuturi · Gabriel Peyré · Francis Bach
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Poster
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Wed 9:00
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Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah Apthorpe · Alexander Riordan · Robert Aguilar · Jan Homann · Yi Gu · David Tank · H. Sebastian Seung
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