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Constrained Bayesian Optimization for Automatic Chemical Design
v1v2v3v4v5v6 (latest)

Constrained Bayesian Optimization for Automatic Chemical Design

16 September 2017
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
    BDL
ArXiv (abs)PDFHTML

Papers citing "Constrained Bayesian Optimization for Automatic Chemical Design"

17 / 67 papers shown
Title
A Unifying Framework for Gaussian Process Pseudo-Point Approximations
  using Power Expectation Propagation
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
T. Bui
Josiah Yan
Richard Turner
73
25
0
23 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
203
2,340
0
09 May 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,364
0
19 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,357
0
30 Sep 2015
Bayesian Optimization of Text Representations
Bayesian Optimization of Text Representations
Dani Yogatama
Noah A. Smith
BDL
192
42
0
02 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek
Oren Rippel
Kevin Swersky
Ryan Kiros
N. Satish
N. Sundaram
Md. Mostofa Ali Patwary
P. Prabhat
Ryan P. Adams
BDLUQCV
95
1,045
0
19 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GANDRL
173
1,961
0
16 Feb 2015
Massively Multitask Networks for Drug Discovery
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar
S. Kearnes
Patrick F. Riley
D. Webster
D. Konerding
Vijay S. Pande
97
472
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GANSSLBDL
91
2,742
0
20 Jun 2014
An Entropy Search Portfolio for Bayesian Optimization
An Entropy Search Portfolio for Bayesian Optimization
Bobak Shahriari
Ziyun Wang
Matthew W. Hoffman
Alexandre Bouchard-Côté
Nando de Freitas
61
57
0
18 Jun 2014
Bayesian Optimization with Unknown Constraints
Bayesian Optimization with Unknown Constraints
M. Gelbart
Jasper Snoek
Ryan P. Adams
88
450
0
22 Mar 2014
Bayesian Multi-Scale Optimistic Optimization
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
120
95
0
27 Feb 2014
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Ziyun Wang
Frank Hutter
M. Zoghi
David Matheson
Nando de Freitas
173
446
0
09 Jan 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
97
1,419
0
23 Nov 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
369
7,957
0
13 Jun 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
152
1,624
0
21 Dec 2009
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