ChengyueGongR / QSVGD
code for "Quantile Stein Variational Gradient Descent"
☆9Updated 5 years ago
Alternatives and similar repositories for QSVGD:
Users that are interested in QSVGD are comparing it to the libraries listed below
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆10Updated 7 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- The code for Meta Learning for SGMCMC☆25Updated 6 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆83Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- ☆13Updated 6 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆19Updated 4 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- ☆15Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- code for Stein Neural Sampler☆22Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 6 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago