facebookresearch / preference-exploration
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.
☆13Updated last year
Alternatives and similar repositories for preference-exploration:
Users that are interested in preference-exploration are comparing it to the libraries listed below
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated last year
- ☆50Updated 3 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆16Updated last year
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆14Updated 3 years ago
- Benchmarks for Model-Based Optimization☆91Updated 11 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆31Updated 3 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago
- ☆11Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆28Updated last month
- [NeurIPS DBT 2021] HPO-B☆29Updated 8 months ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆85Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆14Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last month
- ☆12Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆54Updated 7 months ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆18Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 4 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated last year