The CCIMI blog

Stochastic gradient & Random coordinate descent methods – Part 1

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Stochastic gradient & Random coordinate descent methods – Part 2

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Stochastic gradient & Random coordinate descent methods – Part 3

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Causal Inference for Treatment Effects

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TBA

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Constrained convex minimization – Part 2

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Constrained convex minimization – Part 3

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Constrained convex minimization – Part 1

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Bayesian deep learning

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Introduction to convex optimization and iterative methods

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