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" - Laplace approximation\n " ,
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" - Bayesian optimisation\n " ,
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" - Kronecker product\n " ,
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- " - Log-Gaussian Cox process implementation (LGCP)\n " ,
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+ " - Log-Gaussian Cox process (LGCP)\n " ,
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" - Renewal equation\n " ,
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" - Hilbert Space Gaussian Process approximation (HSGP)\n " ,
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" - Active learning\n " ,
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" - Variational autoencoders (VAEs)\n " ,
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" \n " ,
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- " Two more interesting topics which we don't have time for:\n " ,
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+ " Two more interesting topics which we did not have time for:\n " ,
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" \n " ,
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" - Variational inference\n " ,
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" - Bayesian neural networks"
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]
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- },
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- {
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- "cell_type" : " code" ,
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- "execution_count" : null ,
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- "metadata" : {},
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- "outputs" : [],
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- "source" : []
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- },
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- {
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- "cell_type" : " code" ,
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- "execution_count" : null ,
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- "metadata" : {},
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- "outputs" : [],
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- "source" : []
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- },
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- {
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- "cell_type" : " code" ,
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- "execution_count" : null ,
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- "metadata" : {},
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- "outputs" : [],
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- "source" : []
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}
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],
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"metadata" : {
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https://elizavetasemenova.github.io/prob-epi
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To correct typos, please make pull requests.
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+ For more substantial suggestions about the course content, such as desired topics, please use issues.
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