[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
☆14Aug 19, 2022Updated 3 years ago
Alternatives and similar repositories for Bayesian-L2O
Users that are interested in Bayesian-L2O are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆11May 19, 2021Updated 4 years ago
- Advanced Python visualization library for Association Rules☆10Sep 24, 2021Updated 4 years ago
- Multi-fidelity probability machine learning☆22Apr 25, 2026Updated last week
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Sep 7, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆11Oct 3, 2021Updated 4 years ago
- Formal concept analysis lattice generation and query in Python☆13Apr 19, 2014Updated 12 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Dec 20, 2020Updated 5 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated last year
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation☆18Aug 14, 2021Updated 4 years ago
- Collection of Multi-Fidelity benchmark functions☆30Aug 29, 2025Updated 8 months ago
- [NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Lan…☆15Nov 16, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆17Aug 19, 2024Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Mar 30, 2023Updated 3 years ago
- This code realizes the construction of cokriging model, which is used for the structural size design of solder joints. The input is the r…☆11Aug 11, 2023Updated 2 years ago
- For the paper 'A novel isogeometric coupling approach for assembled thin-walled structures', here is the core code and implementation tha…☆14Aug 9, 2024Updated last year
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Mar 24, 2023Updated 3 years ago
- Representative point selection by the GF-discrepancy minimization technique for the probability density evolution method (PDEM).☆15Nov 24, 2024Updated last year
- Introduction to surrogate modeling optimization in wireless networks☆10May 10, 2018Updated 7 years ago
- Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published…☆20Oct 9, 2023Updated 2 years ago
- ☆40Sep 11, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Nov 14, 2022Updated 3 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.☆10Oct 26, 2022Updated 3 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- TSRoots: A Python package for efficient Gaussian process Thompson sampling in Bayesian optimization via rootfinding.☆10Mar 11, 2025Updated last year
- Random feature latent variable models in Python☆24Jul 23, 2023Updated 2 years ago
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Apr 15, 2022Updated 4 years ago
- A framework for solving reliability analysis (aka design uncertainty quantification) and reliability-based robust design optimization (ak…☆14Feb 13, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆14May 18, 2022Updated 3 years ago
- Randomized Greedy Polynomial Chaos Expansions☆11May 11, 2019Updated 6 years ago
- Arulesviz - interactive association rules vizualization tool for python☆30May 22, 2020Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆53Sep 16, 2021Updated 4 years ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆11Jan 9, 2019Updated 7 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆11Apr 6, 2025Updated last year
- Parses a document (scanned or phone captured) and returns the underlying question - answer layout structured capture by LayoutXLM model☆10Jun 14, 2021Updated 4 years ago