AaltoPML / PPBOLinks
Projective Preferential Bayesian Optimization
☆20Updated 2 years ago
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
- ☆50Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- Python package for Preference Learning with Gaussian Processes.☆34Updated 2 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Adaptive gradient descent without descent☆49Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 3 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated last month
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆54Updated last year
- ☆15Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆38Updated 4 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 7 months ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 11 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated last week