Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023
☆22Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for qEUBO
Users that are interested in qEUBO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code associated with paper "Sparse Bayesian Optimization"☆26Oct 31, 2023Updated 2 years ago
- Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, publi…☆13Jun 22, 2023Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Sep 7, 2021Updated 4 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆17Oct 12, 2022Updated 3 years ago
- A collection of user models and parameter estimation methods.☆23May 3, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated last year
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆17Jul 26, 2023Updated 2 years ago
- Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"☆15Apr 30, 2024Updated last year
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Dec 7, 2020Updated 5 years ago
- Deep-Learning-powered-Iterative-Combinatorial Auctions☆14Mar 25, 2023Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆21Jan 5, 2024Updated 2 years ago
- Python package for Preference Learning with Gaussian Processes.☆34Sep 1, 2025Updated 7 months ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆19Jun 30, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Oct 18, 2022Updated 3 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆14Aug 8, 2025Updated 8 months ago
- A Framework for Equilibrium Learning in Sealed-Bid Auctions☆24Mar 17, 2023Updated 3 years ago
- Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning…☆13Nov 15, 2023Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- ☆14Jun 7, 2023Updated 2 years ago
- Contractive Auto-Encoders in Numpy☆14Aug 31, 2012Updated 13 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Jun 8, 2019Updated 6 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆32Sep 21, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆10Apr 25, 2022Updated 3 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Mar 24, 2024Updated 2 years ago
- Use Bayesian Global Optimization to solve inverse problems☆13Jul 20, 2015Updated 10 years ago
- Implementation of Thompson Sampling in Python☆15Feb 4, 2020Updated 6 years ago
- ☆225Jul 25, 2024Updated last year
- ☆40Oct 30, 2021Updated 4 years ago
- ☆15Apr 2, 2026Updated last week
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated 2 months ago
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆70Oct 3, 2022Updated 3 years ago
- ☆13Mar 12, 2024Updated 2 years ago
- Bayesian optimization of discrete sequences☆21Mar 27, 2022Updated 4 years ago
- Companion code release to "Bayesian Optimization of Function Networks", published in NeurIPS 2021.☆12Jan 12, 2025Updated last year
- A Matlab Toolbox for Passive Macro Modeling☆13Sep 22, 2024Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆12Apr 1, 2020Updated 6 years ago
- ☆11Mar 17, 2024Updated 2 years ago