A very, very basic introduction into distributed optimization
A very brief intro into distributed optimization where we discuss the setup of the problem, a distributed optimization algorithm and some intuition into the convergence. Typo's (comment if you find more!) In "a quick convergence proof", V_t should have a factor 1/2 in front of it; in dV_t/dt there should be no dt on the right-hand side, and in the final dV_t/dt bound it should be 2\mu_fV_t.

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Constrained Optimization: Intuition behind the Lagrangian

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Mathematical Foundations of Robust and Distributionally Robust Optimization

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Understanding Variational Autoencoders (VAEs)

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On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic

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Duality: Lagrangian and dual problem

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Financial Engineering Playground: Signal Processing, Robust Estimation, Kalman, Optimization

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