Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
☆16Aug 5, 2025Updated last year
Alternatives and similar repositories for SkewGP
Users that are interested in SkewGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆17Jul 26, 2023Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆76Nov 13, 2020Updated 5 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆13Aug 8, 2025Updated last year
- ☆14Jul 14, 2026Updated 3 months ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆14May 26, 2026Updated 5 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"☆17Jul 30, 2024Updated 2 years ago
- Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, publi…☆14Jun 22, 2023Updated 3 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆18Feb 24, 2025Updated last year
- PREF-SHAP☆10May 26, 2022Updated 4 years ago
- Python package for Preference Learning with Gaussian Processes.☆36Sep 1, 2025Updated last year
- ☆13Sep 1, 2026Updated 2 months ago
- MultiGML☆11Feb 9, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆11Nov 3, 2023Updated 3 years ago
- Pytorch implementation of XRD spectral identification from COD database☆10Jul 6, 2023Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆35Dec 10, 2025Updated 10 months ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆38Oct 4, 2026Updated last month
- Source Code for 'Bayesian Optimization' by Peng Liu☆30Mar 23, 2023Updated 3 years ago
- ☆12Apr 1, 2023Updated 3 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆42Sep 4, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆47Jun 14, 2021Updated 5 years ago
- Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning…☆14Nov 15, 2023Updated 2 years ago
- Repository for the paper "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature"☆14Apr 3, 2024Updated 2 years ago
- BOCoDe: Benchmarks for Optimization and Computational Design☆14Oct 20, 2026Updated 2 weeks ago
- Psi and psi-marginal adaptive staircase procedure for use in psychophysics.☆12Jul 26, 2017Updated 9 years ago
- Bayesian algorithm execution (BAX)☆56Sep 3, 2021Updated 5 years ago
- 论文Reinforcement Learning of Sequential Price Mechanisms的复现☆12Nov 3, 2022Updated 4 years ago
- Bayesian data analysis using historical data☆16Nov 14, 2025Updated 11 months ago
- ASCII 🐮s☆12May 23, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago
- ☆10Jul 30, 2026Updated 3 months ago
- Open-Source Font☆12Apr 6, 2016Updated 10 years ago
- Feasible trust Region Bayesian Optimization (FuRBO)☆13Oct 17, 2025Updated last year
- Data-driven synthesis of broadband earthquake ground motions using artificial intelligence☆13Apr 7, 2022Updated 4 years ago
- Dead simple X11 color picker. No extra libs required.☆11May 8, 2018Updated 8 years ago
- Additive Gaussian Process Bandits - version 1.0☆29Nov 29, 2016Updated 9 years ago