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Poster
Thu 7:45 Automatic differentiation in ML: Where we are and where we should be going
Bart van Merriënboer · Olivier Breuleux · Arnaud Bergeron · Pascal Lamblin
Poster
Thu 7:45 Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Matthew D. Hoffman · Matthew Johnson · Dustin Tran
Poster
Wed 14:00 Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
Fei Wang · James Decker · Xilun Wu · Gregory Essertel · Tiark Rompf
Poster
Tue 14:00 Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
Ankush Mandal · He Jiang · Anshumali Shrivastava · Vivek Sarkar
Poster
Wed 7:45 Simple, Distributed, and Accelerated Probabilistic Programming
Dustin Tran · Matthew Hoffman · Dave Moore · Christopher Suter · Srinivas Vasudevan · Alexey Radul · Matthew Johnson · Rif A. Saurous
Poster
Tue 14:00 Snap ML: A Hierarchical Framework for Machine Learning
Celestine Dünner · Thomas Parnell · Dimitrios Sarigiannis · Nikolas Ioannou · Andreea Anghel · Gummadi Ravi · Madhusudanan Kandasamy · Haralampos Pozidis
Poster
Tue 14:00 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly · Aman Sinha · Hongseok Namkoong · Russ Tedrake · John Duchi
Poster
Wed 7:45 Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Bart van Merriënboer · Dan Moldovan · Alexander Wiltschko