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151 Results
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Poster
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Tue 7:00 |
Deep Divergence Learning Kubra Cilingir · Rachel Manzelli · Brian Kulis |
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Poster
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Wed 12:00 |
A new regret analysis for Adam-type algorithms Ahmet Alacaoglu · Yura Malitsky · Panayotis Mertikopoulos · Volkan Cevher |
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Poster
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Tue 8:00 |
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization Rie Johnson · Tong Zhang |
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Poster
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Tue 9:00 |
Learning Algebraic Multigrid Using Graph Neural Networks Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh |
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Poster
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Wed 10:00 |
Continuous-time Lower Bounds for Gradient-based Algorithms Michael Muehlebach · Michael Jordan |
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Poster
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Tue 7:00 |
Evaluating the Performance of Reinforcement Learning Algorithms Scott Jordan · Yash Chandak · Daniel Cohen · Mengxue Zhang · Philip Thomas |
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Poster
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Tue 8:00 |
An end-to-end approach for the verification problem: learning the right distance Joao Monteiro · Isabela Albuquerque · Jahangir Alam · R Devon Hjelm · Tiago Falk |
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Poster
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Wed 14:00 |
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs Aditya Rajagopal · Diederik Vink · Stylianos Venieris · Christos-Savvas Bouganis |
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Poster
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Tue 7:00 |
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang |
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Poster
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Wed 10:00 |
Learning Representations that Support Extrapolation Taylor Webb · Zachary Dulberg · Steven Frankland · Alexander Petrov · Randall O'Reilly · Jonathan Cohen |
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Poster
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Tue 12:00 |
TaskNorm: Rethinking Batch Normalization for Meta-Learning John Bronskill · Jonathan Gordon · James Requeima · Sebastian Nowozin · Richard E Turner |
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Poster
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Wed 12:00 |
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik |