Main Takeaway: We study the empirical risk minimization problem with convex losses on distributed architectures. Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt.

Stochastic Second Order Optimization Methods I -

We study the empirical risk minimization problem with convex losses on distributed architectures. Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt.

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  • We study the empirical risk minimization problem with convex losses on distributed architectures.
  • Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt.

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Stochastic Second Order Optimization Methods I

Stochastic Second Order Optimization Methods I

Read more details and related context about Stochastic Second Order Optimization Methods I.

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Stochastic Second Order Optimization Methods II

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A Hyperfast Second-order Method for Distributed Convex Optimization

We study the empirical risk minimization problem with convex losses on distributed architectures. We build upon a recently ...

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CAM Colloquium Feb 10, 2023 Katya Scheinberg ""Overview of adaptive stochastic optimization methods"

Read more details and related context about CAM Colloquium Feb 10, 2023 Katya Scheinberg ""Overview of adaptive stochastic optimization methods".

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