chariff / GProLinks
Python package for Preference Learning with Gaussian Processes.
☆34Updated last month
Alternatives and similar repositories for GPro
Users that are interested in GPro are comparing it to the libraries listed below
Sorting:
- ☆51Updated 3 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Projective Preferential Bayesian Optimization☆20Updated 2 years ago
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆40Updated 5 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 2 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆45Updated 4 years ago
- Industrial Benchmark☆132Updated 2 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆53Updated 3 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆62Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Online variational GPs☆37Updated 2 years ago
- Benchmarks for Model-Based Optimization☆95Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆90Updated 3 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Mixture density network implemented in PyTorch.☆150Updated 2 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆19Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆52Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- ☆47Updated 3 years ago