BoGraph: Structured Bayesian Optimization From Logs for Expensive
Systems with Many Parameters

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BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters

16 December 2021

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Papers citing "BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters"

15 / 15 papers shown

Title
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 72 241 0 09 Jun 2020
Causal Bayesian Optimization Virginia Aglietti Xiaoyu Lu Andrei Paleyes Javier Gonz' alez CML 42 49 0 24 May 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 66 93 0 14 Oct 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 158 1,057 0 18 Oct 2018
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 62 86 0 11 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 211 1,102 0 04 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 103 693 0 03 Jul 2018
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 87 404 0 21 May 2018
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 93 744 0 27 Nov 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 132 1,963 0 19 Sep 2017
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 87 443 0 13 Jun 2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 240 2,336 0 21 Mar 2016
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 193 446 0 09 Jan 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 149 1,184 0 02 Nov 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,965 0 13 Jun 2012

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