facebookresearch / preference-exploration
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.
☆12Updated last year
Related projects: ⓘ
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆21Updated last year
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆81Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆27Updated 3 years ago
- ☆14Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆15Updated 8 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆78Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆45Updated 4 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆67Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- Baselines for Model-Based Optimization☆49Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆22Updated 6 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆50Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆20Updated 11 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 2 years ago
- ☆19Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated last year
- Benchmarks for Model-Based Optimization☆80Updated 4 months ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated 10 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆11Updated 2 years ago
- Projective Preferential Bayesian Optimization☆18Updated last year
- Bayesian active learning with EPIG data acquisition☆25Updated 4 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated last year
- Bayesian Optimisation for String Spaces☆23Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 2 years ago
- ☆18Updated this week
- ☆18Updated 2 years ago