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51 Results
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Poster
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Mon 18:30 |
Adaptive Classification for Prediction Under a Budget Feng Nan · Venkatesh Saligrama |
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Poster
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Mon 18:30 |
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification Bikash Joshi · Massih R. Amini · Ioannis Partalas · Franck Iutzeler · Yury Maximov |
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Poster
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Tue 18:30 |
Universal consistency and minimax rates for online Mondrian Forests Jaouad Mourtada · Stéphane Gaïffas · Erwan Scornet |
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Poster
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Mon 18:30 |
Deep Lattice Networks and Partial Monotonic Functions Seungil You · David Ding · Kevin Canini · Jan Pfeifer · Maya Gupta |
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Poster
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Mon 18:30 |
A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid |
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Poster
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Wed 18:30 |
Convolutional Gaussian Processes Mark van der Wilk · Carl Edward Rasmussen · James Hensman |
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Poster
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Mon 18:30 |
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning Xingguo Li · Lin Yang · Jason Ge · Jarvis Haupt · Tong Zhang · Tuo Zhao |
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Poster
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Mon 18:30 |
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation Matthias Hein · Maksym Andriushchenko |
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Poster
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Mon 18:30 |
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse |
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Poster
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Mon 18:30 |
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions Aryeh Kontorovich · Sivan Sabato · Roi Weiss |
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Poster
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Mon 18:30 |
A New Alternating Direction Method for Linear Programming Sinong Wang · Ness Shroff |
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Poster
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Mon 18:30 |
Cost efficient gradient boosting Sven Peter · Ferran Diego · Fred Hamprecht · Boaz Nadler |