davidrmh Goto Github PK

kdro

Code for the paper: Kernel Distributionally Robust Optimization

learning-from-data-solutions

Repository of my solutions to the problems of "Learning from Data"

ltcc-advanced-computational-methods-in-statistics

Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After an introduction to simulation, its purpose and challenges, we will cover in more detail Importance Sampling, Markov Chain Monte Carlo and Sequential Monte Carlo. Whilst the main focus will be on the methodology and its relevance to applications, we will often mention relevant theoretical results and their importance for problems in practice.

mmd-dro-code

Accompanying code for our NeurIPS 2019 paper

mvae

Mixed-curvature Variational Autoencoders (ICLR 2020)

p-dro

Code for the paper "Modeling the Second Player in Distributionally Robust Optimization"

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

probab17

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probai-2021

Materials of the Nordic Probabilistic AI School 2021.

probai-2021-pyro

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

rat-spn

Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

regularization-via-transportation

Source files for our regularization paper!

retro

Retro Games in Gym

riemannian_geometry_of_deep_generative_models

This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on two datasets namely MNIST and CelebA.

spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

spn

tf-advanced-techniques

Tensorflow Advanced Technique Specialization

wdro_local_perturbation

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)

week4davidmontalvan

Package For Week 4