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:
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated 2 years ago
- Python package for Preference Learning with Gaussian Processes.☆34Updated 5 months ago
- ☆50Updated last year
- ☆54Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Baselines for Model-Based Optimization☆55Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Updated 2 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 7 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 6 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Updated 8 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆52Updated last year
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 6 years ago
- ☆37Updated 5 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Updated 3 years ago