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feat: implementation of bounded LBFGS algorithm #1290

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9090354
feat: implementation of bounded LBFGS algorithm
mikeevmm Apr 4, 2021
ea9557c
feat: correct subspace minimization (less fn. evals.)
mikeevmm Apr 29, 2021
41b2267
refact: minor optimizations and documentation refactoring.
mikeevmm Jun 25, 2021
64d30a4
wip: test file base
mikeevmm Jun 25, 2021
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2 changes: 2 additions & 0 deletions tensorflow_probability/python/optimizer/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
from tensorflow_probability.python.optimizer.differential_evolution import minimize as differential_evolution_minimize
from tensorflow_probability.python.optimizer.differential_evolution import one_step as differential_evolution_one_step
from tensorflow_probability.python.optimizer.lbfgs import minimize as lbfgs_minimize
from tensorflow_probability.python.optimizer.lbfgsb import minimize as lbfgsb_minimize
from tensorflow_probability.python.optimizer.nelder_mead import minimize as nelder_mead_minimize
from tensorflow_probability.python.optimizer.nelder_mead import nelder_mead_one_step
from tensorflow_probability.python.optimizer.proximal_hessian_sparse import minimize as proximal_hessian_sparse_minimize
Expand All @@ -42,6 +43,7 @@
'differential_evolution_minimize',
'differential_evolution_one_step',
'lbfgs_minimize',
'lbfgsb_minimize',
'nelder_mead_minimize',
'nelder_mead_one_step',
'proximal_hessian_sparse_minimize',
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