AaltoPML / PPBOLinks
Projective Preferential Bayesian Optimization
☆20Updated last year
Alternatives and similar repositories for PPBO
Users that are interested in PPBO are comparing it to the libraries listed below
Sorting:
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago
- Python package for Preference Learning with Gaussian Processes.☆33Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆51Updated 11 months ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Structured Neural Networks☆15Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆34Updated 4 years ago
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆16Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- ☆16Updated 6 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- ☆50Updated 3 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Updated 4 years ago
- ☆9Updated last year
- Benchmark functions for Bayesian optimization☆33Updated last year
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago