Source Code for 'Bayesian Optimization' by Peng Liu
☆30Mar 23, 2023Updated 2 years ago
Alternatives and similar repositories for Bayesian-optimization
Users that are interested in Bayesian-optimization are comparing it to the libraries listed below
Sorting:
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆32Dec 4, 2025Updated 2 months ago
- Source code for Bayesian Optimization in Action, published by Manning☆108Apr 9, 2023Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆28Sep 18, 2023Updated 2 years ago
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆27Jun 7, 2021Updated 4 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆33Dec 10, 2025Updated 2 months ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆14Aug 8, 2025Updated 6 months ago
- ☆14Oct 18, 2021Updated 4 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆21Apr 13, 2025Updated 10 months ago
- Repo for course Cypress Fundamentals on Pluralsight by Adhithi Ravichandran☆12Nov 13, 2023Updated 2 years ago
- A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse☆34Aug 25, 2022Updated 3 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- Dynamic Causal Modelling (DCM) of fMRI and M/EEG face-processing data☆10Jan 26, 2024Updated 2 years ago
- Mathematical Modeling Toolbox with R☆18Dec 5, 2025Updated 2 months ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Code implementation of “Flexible Coordination of Wind Generators and Energy Storages in joint Energy and Frequency Regulation Market“☆11Sep 26, 2023Updated 2 years ago
- ☆11Mar 5, 2023Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 2 years ago
- Python Source code and datasets used in my doctoral dissertation - Detection of faults in HVAC systems using tree-based ensemble models a…☆13Oct 6, 2018Updated 7 years ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated last year
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab☆14Dec 22, 2023Updated 2 years ago
- A list of publicly available resources regarding the SAS7BDAT file format☆11Jan 10, 2022Updated 4 years ago
- Codes for the paper "Residuals-based Distributionally Robust Optimization with Covariate Information"☆10Aug 13, 2022Updated 3 years ago
- Machine Learning based model to predict power demand in charging station for electric vehicles.☆11Mar 28, 2023Updated 2 years ago
- Logseq D2 plugin☆16Jun 21, 2023Updated 2 years ago
- Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks (WSDM 2023)☆13Jan 4, 2023Updated 3 years ago
- Companion code to the paper "Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints".☆10Aug 27, 2020Updated 5 years ago
- A conda-smithy repository for ollama.☆10Updated this week
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- Statistical Learning R Labs☆12Oct 26, 2025Updated 4 months ago
- Explanation Ontology Resource website☆12Jun 8, 2024Updated last year
- ☆10Mar 31, 2021Updated 4 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- KDD2024: This is the code for the paper "Propagation Structure-aware Graph Transformer for Robust and Interpretable Fake News Detection"☆12Aug 31, 2024Updated last year
- Fast Online Adaptive Neural MPC via Meta-Learning☆22May 4, 2025Updated 9 months ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆10Oct 13, 2022Updated 3 years ago
- ☆11Jan 31, 2022Updated 4 years ago