CyberAgentAILab / preferentialBOLinks
(ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
☆17Updated 2 years ago
Alternatives and similar repositories for preferentialBO
Users that are interested in preferentialBO are comparing it to the libraries listed below
Sorting:
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 4 months ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆21Updated 3 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆100Updated 3 weeks ago
- Projective Preferential Bayesian Optimization☆20Updated 2 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Updated 11 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 6 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42Updated 3 years ago
- [NeurIPS DBT 2021] HPO-B☆41Updated 3 months ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆103Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆58Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆39Updated 4 months ago
- ☆23Updated 3 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 2 months ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆42Updated 5 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆101Updated 6 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆109Updated last year
- ☆11Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆63Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- ☆14Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆36Updated 5 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆53Updated 6 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆19Updated 7 months ago
- Code accompanying https://arxiv.org/abs/1802.02219☆19Updated 3 years ago