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35 Results
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Poster
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Mon 18:30 |
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks Arturs Backurs · Piotr Indyk · Ludwig Schmidt |
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Poster
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Mon 18:30 |
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes Anton Mallasto · Aasa Feragen |
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Poster
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Mon 18:30 |
Recursive Sampling for the Nystrom Method Cameron Musco · Christopher Musco |
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Poster
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Wed 18:30 |
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search Mohammad Ali Bashiri · Xinhua Zhang |
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Poster
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Tue 18:30 |
Generalization Properties of Learning with Random Features Alessandro Rudi · Lorenzo Rosasco |
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Poster
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Mon 18:30 |
Kernel Feature Selection via Conditional Covariance Minimization Jianbo Chen · Mitchell Stern · Martin J Wainwright · Michael Jordan |
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Poster
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Mon 18:30 |
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification Muhammad Farhan · Juvaria Tariq · Arif Zaman · Mudassir Shabbir · Imdad Ullah Khan |
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Poster
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Tue 18:30 |
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong · David Eriksson · Hannes Nickisch · David Bindel · Andrew Wilson |
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Poster
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Mon 18:30 |
On clustering network-valued data Soumendu Sundar Mukherjee · Purnamrita Sarkar · Lizhen Lin |
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Poster
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Mon 18:30 |
Predictive State Recurrent Neural Networks Carlton Downey · Ahmed Hefny · Byron Boots · Geoffrey Gordon · Boyue Li |
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Poster
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Mon 18:30 |
SGD Learns the Conjugate Kernel Class of the Network Amit Daniely |
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Poster
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Mon 18:30 |
Scalable Levy Process Priors for Spectral Kernel Learning Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson |