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Poster
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Wed 9:00
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Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li · Wei Xing · Robert Kirby · Shandian Zhe
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Poster
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Tue 9:00
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Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
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Poster
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Tue 9:00
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Cross-validation Confidence Intervals for Test Error
Pierre Bayle · Alexandre Bayle · Lucas Janson · Lester Mackey
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Poster
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Thu 9:00
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Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
Geoff Pleiss · Martin Jankowiak · David Eriksson · Anil Damle · Jacob Gardner
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Poster
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Thu 9:00
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Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
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Workshop
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Poster: Unlocking the Potential of Deep Counterfactual Value Networks
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Poster
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Thu 9:00
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Understanding spiking networks through convex optimization
Allan Mancoo · Sander Keemink · Christian Machens
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Workshop
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Fri 15:50
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Contributed Talk 5: Paper 19: Deep convolutional tensor network
Philip Blagoveschensky
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Poster
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Thu 9:00
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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis Wei · Tian Gao · Yue Yu
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Workshop
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Poster: Amortized Variational Deep Q Network
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Poster
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Thu 21:00
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Model Inversion Networks for Model-Based Optimization
Aviral Kumar · Sergey Levine
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Workshop
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Paper 38: Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
Flora Dellinger · Diego Mendoza Barrenechea · Isabelle Leang
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