There are 8 repositories under robust-optimization topic.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.
Оптимизация долгосрочного портфеля акций
Robust GNSS Processing With Factor Graphs
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
Software Release for "Incremental Covariance Estimation for Robust Localization"
The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016
Data-Driven Decision Making under Uncertainty in Matrix
Experiments with distributionally robust optimization (DRO) for deep neural networks
Robust estimations from distribution structures: Invariant moments.
Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"
Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://pubsonline.informs.org/doi/10.1287/msom.2022.0154 and https://arxiv.org/pdf/2005.06042v4.pdf. This project was funded by the Institut VEDECOM.
End-to-end distributionally robust optimization
Crosswords puzzle generator and publisher using Constraints Satisfaction Problem (CSP) technique. With minimal backtracks.
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"
One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)
[NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction
OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supported by an extensive documentation and tutorials.
Robust estimations from distribution structures: Central moments.