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6 Results
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Oral
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Tue 4:23 |
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel |
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Poster
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Tue 9:00 |
Scalable Bayesian Inverse Reinforcement Learning Alex Chan · Mihaela van der Schaar |
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Poster
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Thu 17:00 |
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li |
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Poster
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Thu 1:00 |
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel |
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Poster
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Mon 1:00 |
Scalable Transfer Learning with Expert Models Joan Puigcerver i Perez · Carlos Riquelme · Basil Mustafa · Cedric Renggli · André Susano Pinto · Sylvain Gelly · Daniel Keysers · Neil Houlsby |
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Poster
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Wed 9:00 |
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz · Keshav Balasubramanian · Mehrnoosh Mirtaheri · Sami Abu-El-Haija · Bryan Perozzi · Greg Ver Steeg · Aram Galstyan |