Latest updates for Differentiable Programming

Fresh curated links around differentiable programming are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Optimization Theory and Applications
  • Three ways to differentiate ReLU
  • Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole

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medium.com /1 month ago

Optimization Theory and Applications

Theory of Descent Directions -A Mathematical Derivation of Steepest Descent and Newton Steps — 2 (Continued)Continue reading on Medium »

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johndcook.com /1 month ago

Three ways to differentiate ReLU

When a function is not differentiable in the classical sense there are multiple ways to compute a generalized derivative. This post will look at three generalizations of the classi...

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towardsdatascience.com /1 week ago

Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole

Whenever you can rewrite an optimization problem so that fixing some variables makes the rest separable, you could try Benders. The post Benders’ Decomposition 101: How to Crack Op...

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habr.com /1 month ago

DiffQuant: прямая оптимизация коэффициента Шарпа через дифференцируемый торговый симулятор

Большинство ML-систем для трейдинга оптимизируют MSE, а оценивают по коэффициенту Sharpe. В DiffQuant этот разрыв убран: весь путь от рыночных признаков до позиции, PnL и издержек...

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towardsdatascience.com /1 month ago

A Gentle Introduction to Stochastic Programming

How to make decisions when your spreadsheet is lying about the future The post A Gentle Introduction to Stochastic Programming appeared first on Towards Data Science.

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habr.com

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medium.com

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towardsdatascience.com

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johndcook.com

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