Archive

Julia Setup (Aug 26, 2021)

Functional Analysis, Sobolev Spaces (Mar 3, 2021)

Daily Collection (Feb 22, 2021)

Introduction to Differential Equations (Aug 1, 2019)

Improved Training of Wasserstein GANs (Jun 12, 2019)

Learning Generative Models with Sinkhorn Divergence (Jun 11, 2019)

Variational Inference with Normalizing Flows (Jun 10, 2019)

Semisupervised Learning with Deep Generative Models (Jun 9, 2019)

Categorical Reparameterization with GumbelSoftmax (Jun 8, 2019)

Mutual Information Neural Estimation (Jun 7, 2019)

Deep Variational Information Bottleneck (Jun 6, 2019)

Variational Discriminator Bottleneck (Jun 5, 2019)

Wasserstein GAN (Jun 4, 2019)

Towards Principled Methods for Training Generative Adversarial Networks (Jun 3, 2019)

SoftDTW: a Differentiable Loss Function for Time Series (Jun 2, 2019)

Differentiable Dynamic Programming (Jun 1, 2019)

Structure and Interpretation of Compupter Programs 2 (Feb 1, 2019)

Structure and Interpretation of Compupter Programs 1 (Jan 1, 2019)

Legendre Transformation (Dec 3, 2018)

Negative Entropy (Dec 2, 2018)

Matrix Calculus (Dec 1, 2018)

Conjugate Prior (Feb 1, 2018)

The Exponential Family (Jan 1, 2018)

Introductory Lectures on Convex Optimization 2 (Mar 1, 2017)

Introductory Lectures on Convex Optimization 1 (Feb 1, 2017)

Optimization Methods for Large Scale Machine Learning (Jan 1, 2017)

Machine Learning Techniques (Apr 1, 2015)

Machine Learning Foundations (Jan 1, 2015)