Nov 2023 | Machine Learning literatureðŸ§® math |

Aug 2023 | Topics in Bayesian Machine LearningðŸ§® math |

Aug 2023 | The Gaussian CheatsheetðŸ§® math |

Aug 2023 | Diffusion ModelsðŸ§® math |

Jul 2023 | Hypothesis TestingðŸ§® math |

Jun 2023 | Cross-Entropy, Label Smoothing, and Focal LossðŸ§® math |

Jun 2023 | Differential EntropyðŸ§® math |

May 2023 | Higher-order gradients in PyTorch, ParallelizedðŸ§® math |

May 2023 | Notes on OOD GeneralizationðŸ§® math |

May 2023 | Raw notes on Interpretable Machine LearningðŸ§® math |

May 2023 | Gradient Boosted Decision Trees: A RecapðŸ§® math |

May 2023 | Decision TheoryðŸ§® math |

May 2023 | Beyond BayesðŸ§® math |

May 2023 | Mathematics OverviewðŸ§® math |

Dec 2022 | Topics in Numerical AnalysisðŸ§® math |

Apr 2022 | Machine Learning coursesðŸ§® math |

Dec 2020 | The Gibbs distribution and general BayesðŸ§® math |

Nov 2020 | Why is Bayesian inference hard?ðŸ§® math |

Sep 2020 | Orthogonal projectors and linear regressionðŸ§® math |

Aug 2020 | Discovering Taylor series the hard wayðŸ§® math |

Aug 2020 | Linear Algebra Done RightðŸ§® math |

Aug 2020 | ML FragmentsðŸ§® math |

Jul 2020 | An Introduction to Epipolar GeometryðŸ§® math |

Jul 2020 | RL: Tricks of the TradeðŸ§® math |

Feb 2020 | Deriving the Cross Entropy MethodðŸ§® math |

Mar 2019 | The Stein GradientðŸ§® math |

May 2018 | Policy Gradients in a NutshellðŸ§® math |

Feb 2018 | When does SGD work well?ðŸ§® math |

Dec 2017 | The beauty of Bayesian LearningðŸ§® math |

Oct 2017 | Visualizing the Confusion MatrixðŸ§® math |

Oct 2017 | The magic of Automatic DifferentiationðŸ§® math |

Jul 2017 | A Primer on Projective GeometryðŸ§® math |

Jun 2017 | Introduction to RANSACðŸ§® math |