Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2112.08774
Cited By
v1
v2 (latest)
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters
16 December 2021
Sami Alabed
Eiko Yoneki
Re-assign community
ArXiv (abs)
PDF
HTML
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
195
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
1