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24_other.ipynb

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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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README.md

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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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