Maintenance Release

New Features

• Implement ExpectationPosteriorTransform (#903).
• Add PairwiseMCPosteriorVariance, a cheap active learning acquisition function (#1125).
• Support computing quantiles in the fully Bayesian posterior, add FullyBayesianPosteriorList (#1161).
• Add expectation risk measures (#1173).
• Implement Multi-Fidelity GIBBON (Lower Bound MES) acquisition function (#1185).

Other Changes

• Add an error message for one shot acquisition functions in optimize_acqf_discrete (#939).
• Validate the shape of the bounds argument in optimize_acqf (#1142).
• Minor tweaks to SAASBO (#1143, #1183).
• Minor updates to tutorials (24f7fda, #1144, #1148, #1159, #1172, #1180).
• Make it easier to specify a custom PyroModel (#1149).
• Allow passing in a mean_module to SingleTaskGP/FixedNoiseGP (#1160).
• Add a note about acquisitions using gradients to base class (#1168).
• Remove deprecated box_decomposition module (#1175).

Bug Fixes

• Bug-fixes for ProximalAcquisitionFunction (#1122).
• Fix missing warnings on failed optimization in fit_gpytorch_scipy (#1170).
• Ignore data related buffers in PairwiseGP.load_state_dict (#1171).
• Make fit_gpytorch_model properly honor the debug flag (#1178).
• Fix missing posterior_transform in gen_one_shot_kg_initial_conditions (#1187).