facebookresearch / preference-explorationLinks
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.
☆13Updated 2 years ago
Alternatives and similar repositories for preference-exploration
Users that are interested in preference-exploration are comparing it to the libraries listed below
Sorting:
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆50Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆31Updated last year
- Benchmarks for Model-Based Optimization☆93Updated last year
- [NeurIPS DBT 2021] HPO-B☆35Updated this week
- ☆50Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆222Updated 9 months ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆12Updated 5 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆15Updated 3 years ago
- A modular, easy to extend GFlowNet library☆274Updated this week
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- [ICLR 2021] Few Shot Bayesian Optimization☆20Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆39Updated 5 years ago
- ☆19Updated 3 years ago
- ☆18Updated 2 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆93Updated 3 months ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆21Updated last month
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 5 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆35Updated 4 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆34Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆32Updated 3 months ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Updated 2 years ago
- Comparison between GFlowNets & Maximum Entropy RL☆19Updated last year
- ☆11Updated 2 years ago