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38 Results
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Poster
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Tue 9:00 |
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer · Mark van der Wilk · Carl Edward Rasmussen |
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Poster
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Tue 9:00 |
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils Kriege · Pierre-Louis Giscard · Richard Wilson |
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Poster
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Wed 9:00 |
A Consistent Regularization Approach for Structured Prediction Carlo Ciliberto · Lorenzo Rosasco · Alessandro Rudi |
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Poster
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Tue 9:00 |
Incremental Variational Sparse Gaussian Process Regression Ching-An Cheng · Byron Boots |
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Poster
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Wed 9:00 |
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely · Roy Frostig · Yoram Singer |
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Poster
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Tue 9:00 |
Minimizing Quadratic Functions in Constant Time Kohei Hayashi · Yuichi Yoshida |
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Poster
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Tue 9:00 |
Bayesian optimization for automated model selection Gustavo Malkomes · Charles Schaff · Roman Garnett |
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Poster
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Tue 9:00 |
Joint quantile regression in vector-valued RKHSs Maxime Sangnier · Olivier Fercoq · Florence d'Alché-Buc |
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Poster
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Mon 9:00 |
k*-Nearest Neighbors: From Global to Local Oren Anava · Kfir Y. Levy |
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Poster
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Tue 9:00 |
Adversarial Multiclass Classification: A Risk Minimization Perspective Rizal Fathony · Anqi Liu · Kaiser Asif · Brian Ziebart |
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Poster
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Mon 9:00 |
Estimating the class prior and posterior from noisy positives and unlabeled data Shantanu Jain · Martha White · Predrag Radivojac |
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Poster
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Wed 9:00 |
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning Taiji Suzuki · Heishiro Kanagawa · Hayato Kobayashi · Nobuyuki Shimizu · Yukihiro Tagami |