NeurIPS 2019 Paper
☆12Dec 9, 2019Updated 6 years ago
Alternatives and similar repositories for TwoStep-BayesOpt
Users that are interested in TwoStep-BayesOpt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning…☆13Nov 15, 2023Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 4 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Nov 27, 2018Updated 7 years ago
- GPareto cran package☆18Feb 8, 2026Updated 2 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.
- 论文Reinforcement Learning of Sequential Price Mechanisms的复现☆12Nov 3, 2022Updated 3 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆17Oct 12, 2022Updated 3 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 6 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated last year
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆23Jun 29, 2025Updated 10 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated 8 months ago
- A framework for Bayesian optimization of composite functions.☆15Dec 8, 2022Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Jun 8, 2019Updated 6 years ago
- ☆19Apr 15, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Sep 23, 2017Updated 8 years ago
- Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library☆21Jun 25, 2018Updated 7 years ago
- ☆12Mar 17, 2024Updated 2 years ago
- Deep-Learning-powered-Iterative-Combinatorial Auctions☆14Mar 25, 2023Updated 3 years ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).