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Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers


Sep 16, 2021
Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zack Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani


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Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning


Jun 07, 2021
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran


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Population-Based Black-Box Optimization for Biological Sequence Design


Jun 05, 2020
Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley


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Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling


Feb 23, 2020
Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana Brooks, Jennifer Dy, Jasper Snoek


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DPPNet: Approximating Determinantal Point Processes with Deep Networks


Jan 07, 2019
Zelda Mariet, Yaniv Ovadia, Jasper Snoek


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Learning Determinantal Point Processes by Sampling Inferred Negatives


Nov 02, 2018
Zelda Mariet, Mike Gartrell, Suvrit Sra


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Foundations of Sequence-to-Sequence Modeling for Time Series


May 09, 2018
Vitaly Kuznetsov, Zelda Mariet


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Diversity Networks: Neural Network Compression Using Determinantal Point Processes


Apr 18, 2017
Zelda Mariet, Suvrit Sra

* This paper appeared under the shorter title Diversity Networks at ICLR 2016 (http://www.iclr.cc/doku.php?id=iclr2016:main#accepted_papers_conference_track

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Kronecker Determinantal Point Processes


May 26, 2016
Zelda Mariet, Suvrit Sra


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Fixed-point algorithms for learning determinantal point processes


Oct 08, 2015
Zelda Mariet, Suvrit Sra

* ICML, 2015 

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