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
- Reinforcement Learning with Convex Constraints☆14Updated 2 years ago
- Online variational GPs☆31Updated last year
- Offline Contextual Bayesian Optimization☆14Updated last year
- Implementation of my Bayesian Optimization algorithms☆12Updated 7 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 6 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Bayesian optimization☆37Updated 5 years ago
- Streaming sparse Gaussian process approximations☆63Updated 2 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆31Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- A curated list of awesome multi-objective optimization research resources.☆60Updated 6 years ago
- The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'☆84Updated 3 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆21Updated 5 years ago
- Bayesian Neural Network in PyTorch☆84Updated 10 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated last year
- Bayesian neural network package☆144Updated 3 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago