ardaegeunlu / Contextual-Gaussian-Process-Bandit-Optimization
Simple implementation of the CGP-UCB algorithm.
☆32Updated 5 years ago
Alternatives and similar repositories for Contextual-Gaussian-Process-Bandit-Optimization:
Users that are interested in Contextual-Gaussian-Process-Bandit-Optimization are comparing it to the libraries listed below
- Simple implementation of GP-UCB algorithm.☆51Updated 8 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆31Updated 4 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated last year
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- A curated list of awesome multi-objective optimization research resources.☆60Updated 6 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Updated 3 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆30Updated 4 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- ☆30Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Online variational GPs☆31Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆37Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆21Updated 5 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆47Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- Python package for Preference Learning with Gaussian Processes.☆33Updated 3 years ago
- Implementation of my Bayesian Optimization algorithms☆12Updated 6 years ago