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WIP fix bug where variational GPs wouldn't use correct likelihoods; use botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions #323
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This pull request was exported from Phabricator. Differential Revision: D48891019 |
…se botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
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This pull request was exported from Phabricator. Differential Revision: D48891019 |
…se botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
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This pull request was exported from Phabricator. Differential Revision: D48891019 |
…se botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
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This pull request was exported from Phabricator. Differential Revision: D48891019 |
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…se botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
This pull request was exported from Phabricator. Differential Revision: D48891019 |
…se botorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
c77e206
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This pull request was exported from Phabricator. Differential Revision: D48891019 |
78cb19d
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264938a
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…otorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
This pull request was exported from Phabricator. Differential Revision: D48891019 |
…otorch inducing point selection; use botorch default mean/covar; update botorch/ax versions (facebookresearch#323) Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible. Differential Revision: D48891019
264938a
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c81aee9
Compare
This pull request was exported from Phabricator. Differential Revision: D48891019 |
This pull request has been merged in 9e16a29. |
Summary: This ensures variational GPs will use correct likelihoods, and it moves some logic out of AEPsych and into botorch. Anecdotally, the botorch priors seem to produce better models, and since we are so resource-strapped on the AEPsych side, we should rely on botorch logic as much as possible.
Differential Revision: D48891019