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docs/source/jacobian_descent.rst

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@@ -30,10 +30,10 @@ and that we recommend for most problems is :doc:`UPGrad <docs/aggregation/upgrad
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**Which problems are multi-objective?**
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Many optimization problems are multi-objective. In multitask learning, for example, the loss of each
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task can be considered as a separate objective. More interestingly to us, many problems that are
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traditionally considered as single-objective can actually be seen as multi-objective. Here are a few
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examples:
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Many optimization problems are multi-objective. In multi-task learning, for example, the loss of
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each task can be considered as a separate objective. More interestingly to us, many problems that
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are traditionally considered as single-objective can actually be seen as multi-objective. Here are a
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few examples:
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- We can consider separately the loss of each element in the mini-batch, instead of averaging them.
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We call this paradigm instance-wise risk minimization (:doc:`IWRM <examples/iwrm>`).

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