Name: Rafael Oliveira
Type: User
Company: Data61 | CSIRO
Bio: Senior Research Scientist at Data61 (CSIRO), Australia, working on Machine Learning methods for optimisation and approximate Bayesian inference
Location: Sydney, Australia
Blog: https://rafaeloliveira.me
Rafael Oliveira's Projects
Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.
Adaptive MPPI controller for OpenAI Gym environments
Exploratory analysis of Bayesian models with Python
Code repository for NeurIPS 2022 paper "Batch Bayesian optimisation via density-ratio estimation with guarantees"
Bayesian Optimization with Density-Ratio Estimation
Distributional Bayesian optimisation for variational inference on black-box simulators
Density estimation likelihood-free inference
Gaussian Process Optimization using GPy
A highly efficient implementation of Gaussian Processes in PyTorch
Testing methods for estimating KL-divergence from samples.
Convert Markdown to HTML, with XSS protection
Mixture density network implemented in PyTorch.
Python library for Reinforcement Learning.
Code repository for the paper No-Regret Approximate Inference via Bayesian Optimisation, published at UAI 2021
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian Deep Learning with Stochastic Gradient MCMC Methods
A Python wrapper for the Swyftx API
Mixture Density Networks for PyTorch
Offline Text To Speech synthesis for python
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A research framework for MCMC
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
RoBO: a Robust Bayesian Optimization framework
A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
An implementation of squared neural families in PyTorch
Sequential Neural Likelihood
Sparse spectrum Gaussian process regression
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"