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EarthyScience
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HybridVariationalInference.jl
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May 11, 2026
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#39
bgctw
merged 32 commits into
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Commits on Mar 25, 2026
let PBM return a tuple of observations and additional quantities.
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Commits on Mar 26, 2026
replace penalty_loss_function by callable AbstractPenaltyComputer
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Commits on Mar 27, 2026
let PenaltyComputer return several components
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Commits on Mar 30, 2026
fix type inference with penalties
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remove n_covar from HybridProblem
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Commits on Mar 31, 2026
make RangeScalingModelApplicator apply only to range of parameters
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Commits on Apr 1, 2026
working on AbstractMeanScalingHVIApproximation
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Commits on Apr 2, 2026
Implement OneBasedVectorWithZero
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Implement OneBasedVectorWithZero
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Merge branch 'dev' of github.com:EarthyScience/HybridVariationalInference.jl into dev
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Commits on Apr 7, 2026
move indices up into Approximation class
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Commits on Apr 8, 2026
test M3 scenario with 2 scaling blocks
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update the tutorial to use the ScalingHVIApproximation
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Commits on Apr 10, 2026
generating synthetic data with clustered sites
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fix PointSolver to ignore ML uncertainty components
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inspect HVI inversion of clustered sites
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batch_fac
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Commits on Apr 11, 2026
fit and plot mode rather than median
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move clustered_sites.qmd to its own project
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Commits on Apr 13, 2026
implement scaling loss and elbo components by cluster_frac
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Commits on Apr 14, 2026
invert clustered_sites with cluster scaling
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Commits on Apr 16, 2026
factor out get_cholesky_correlation_Ms and get_marginal_std
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Commits on Apr 21, 2026
determine overdispersion in cluster
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Commits on Apr 24, 2026
continue working on overdispersion
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Commits on Apr 28, 2026
plotting inferred clusters results
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Commits on Apr 30, 2026
do not downsclale penalties in cluster
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Commits on May 11, 2026
remove y_o from penalty computer
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typos
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rerun tutorials
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typos: ignore bse
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fix typo in docs/make.jl
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fix doctests
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