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Fix relative import in vlarge batch ariatinal strategy tests Run Test Suite #769: Pull request #2693 opened by Balandat
6m 4s Balandat:fix_test_import
Balandat:fix_test_import
6m 4s
Merge pull request #2692 from kayween/fast-variational Run Test Suite #768: Commit 11ed41c pushed by jacobrgardner
5m 33s main
main
5m 33s
Poisson and negative binomial Run Test Suite #767: Pull request #2690 synchronize by StefanoDamato
5m 51s StefanoDamato:pois_nbinom_lik
StefanoDamato:pois_nbinom_lik
5m 51s
reduce linear operator overhead in exact marginal log likelihood computation Run Test Suite #766: Pull request #2682 synchronize by kayween
6m 5s kayween:linop-overhead-exact-mll
kayween:linop-overhead-exact-mll
6m 5s
Speed Up Variational Strategy Run Test Suite #765: Pull request #2692 synchronize by kayween
6m 10s kayween:fast-variational
kayween:fast-variational
6m 10s
Speed Up Variational Strategy Run Test Suite #764: Pull request #2692 synchronize by kayween
5m 58s kayween:fast-variational
kayween:fast-variational
5m 58s
Adding support for load_state_dict with assign=True for priors of Transformed distributions Run Test Suite #763: Pull request #2691 synchronize by hvarfner
6m 25s hvarfner:state_dict_assign
hvarfner:state_dict_assign
6m 25s
Speed Up Variational Strategy Run Test Suite #762: Pull request #2692 synchronize by kayween
6m 1s kayween:fast-variational
kayween:fast-variational
6m 1s
Copilot code review Copilot code review #5: by Copilot AI
3m 18s refs/pull/2692/head
refs/pull/2692/head
3m 18s
Copilot code review Copilot code review #4: by Copilot AI
4m 39s refs/pull/2682/head
refs/pull/2682/head
4m 39s
reduce linear operator overhead in exact marginal log likelihood computation Run Test Suite #761: Pull request #2682 synchronize by jacobrgardner
6m 14s kayween:linop-overhead-exact-mll
kayween:linop-overhead-exact-mll
6m 14s
Speed Up Variational Strategy Run Test Suite #760: Pull request #2692 opened by kayween
6m 31s kayween:fast-variational
kayween:fast-variational
6m 31s
Copilot code review Copilot code review #3: by Copilot AI
2m 55s refs/pull/2692/head
refs/pull/2692/head
2m 55s
Poisson and negative binomial Run Test Suite #759: Pull request #2690 reopened by StefanoDamato
5m 59s StefanoDamato:pois_nbinom_lik
StefanoDamato:pois_nbinom_lik
5m 59s
Adding support for load_state_dict with assign=True for priors of Transformed distributions Run Test Suite #758: Pull request #2691 opened by hvarfner
5m 28s hvarfner:state_dict_assign
hvarfner:state_dict_assign
5m 28s
A variational strategy optimized for large batch stochastic training Run Test Suite #755: Pull request #2688 opened by kayween
8m 7s kayween:large-batch-variational
kayween:large-batch-variational
8m 7s
Copilot code review Copilot code review #2: by Copilot AI
3m 55s refs/pull/2688/head
refs/pull/2688/head
3m 55s
fix the shape bug in LKJCovariancePrior Run Test Suite #754: Pull request #2686 opened by kayween
6m 2s kayween:lkj-covar-prior-batch-sampling
kayween:lkj-covar-prior-batch-sampling
6m 2s
Copilot code review Copilot code review #1: by Copilot AI
5m 12s refs/pull/2686/head
refs/pull/2686/head
5m 12s
v1.14.3 Upload Python Package to PyPI and Anaconda #18: Release v1.14.3 created by gpleiss
7m 26s
7m 26s
reduce linear operator overhead in exact marginal log likelihood computation Run Test Suite #753: Pull request #2682 synchronize by kayween
5m 55s kayween:linop-overhead-exact-mll
kayween:linop-overhead-exact-mll
5m 55s
Fix the shape bug in RQKernel when using deep GPs Run Test Suite #752: Commit 60be953 pushed by kayween
9m 25s main
main
9m 25s
Fix for #2674 - Corrected sizes for alpha in RQKernel when using Deep GPs Run Test Suite #751: Pull request #2677 synchronize by kayween
5m 59s mrlj-hash:main
mrlj-hash:main
5m 59s
Fix for #2674 - Corrected sizes for alpha in RQKernel when using Deep GPs Run Test Suite #750: Pull request #2677 synchronize by kayween
6m 8s mrlj-hash:main
mrlj-hash:main
6m 8s
Fix for #2674 - Corrected sizes for alpha in RQKernel when using Deep GPs Run Test Suite #749: Pull request #2677 synchronize by kayween
6m 1s mrlj-hash:main
mrlj-hash:main
6m 1s