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6 changes: 4 additions & 2 deletions optax/contrib/_cocob.py
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,9 @@ def cocob(

Algorithm for stochastic subgradient descent. Uses a gambling algorithm to
find the minimizer of a non-smooth objective function by accessing its
subgradients. All we need is a good gambling strategy. See Algorithm 2 of:
subgradients. All we need is a good gambling strategy. See Algorithm 2 of
`Training Deep Networks without Learning Rates Through Coin Betting
<https://arxiv.org/pdf/1705.07795.pdf>`_.

Args:
learning_rate: optional learning rate to e.g. inject some scheduler
Expand All @@ -135,7 +137,7 @@ def cocob(
A `GradientTransformation` object.

References:
Orabana et al, `Training Deep Networks without Learning Rates Through Coin
Orabona et al, `Training Deep Networks without Learning Rates Through Coin
Betting <https://arxiv.org/pdf/1705.07795.pdf>`_, 2017
"""
return combine.chain(
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