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add qEHVI paper to website (#469)
Summary: Pull Request resolved: #469 see title Reviewed By: Balandat Differential Revision: D22382131 fbshipit-source-id: 120409097d7d202b16f3b7bfc0b30b89b6ab0e32
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website/pages/en/index.js

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@@ -146,12 +146,22 @@ candidate # tensor([0.4887, 0.5063])
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const papertitle = `BoTorch: Programmable Bayesian Optimization in PyTorch`
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const paper_bibtex = `${pre}plaintext
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@article{balandat2019botorch,
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Author = {Balandat, Maximilian and Karrer, Brian and Jiang, Daniel R. and Daulton, Samuel and Letham, Benjamin and Wilson, Andrew Gordon and Bakshy, Eytan},
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Author = {Maximilian Balandat and Brian Karrer and Daniel R. Jiang and Samuel Daulton and Benjamin Letham and Andrew Gordon Wilson and Eytan Bakshy},
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Journal = {arXiv e-prints},
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Month = oct,
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Pages = {arXiv:1910.06403},
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Title = {{BoTorch: Programmable Bayesian Optimization in PyTorch}},
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Year = 2019}
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`;
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const ehvi_papertitle = `Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization`
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const ehvi_paper_bibtex = `${pre}plaintext
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@article{daulton2020differentiable,
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Author = {Samuel Daulton and Maximilian Balandat and Eytan Bakshy},
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Journal = {Arxiv e-prints},
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Title = {Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization},
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Year = {2020},
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url = {https://arxiv.org/abs/2006.05078}
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}
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`;
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//
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const QuickStart = () => (
@@ -222,10 +232,12 @@ candidate # tensor([0.4887, 0.5063])
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className="productShowcaseSection"
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id="reference"
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style={{textAlign: 'center'}}>
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<h2>Reference</h2>
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<h2>References</h2>
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<Container>
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Read the paper: <a href={`https://arxiv.org/abs/1910.06403`}>{papertitle}</a>
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<a href={`https://arxiv.org/abs/1910.06403`}>{papertitle}</a>
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<MarkdownBlock>{paper_bibtex}</MarkdownBlock>
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<a href={`https://arxiv.org/abs/2006.05078`}>{ehvi_papertitle}</a>
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<MarkdownBlock>{ehvi_paper_bibtex}</MarkdownBlock>
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</Container>
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</div>
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);

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