robust-optimization

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.

Robust GNSS Processing With Factor Graphs

A development environment for robust and global optimization

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Оптимизация долгосрочного портфеля акций

Code to train RL agents along with Adversarial distrubance agents

Software Release for "Incremental Covariance Estimation for Robust Localization"

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

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

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Robust optimization for power markets

Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"

Data-Driven Decision Making under Uncertainty in Matrix

PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".

Modeling robust optimization problems in Pyomo

Experiments with distributionally robust optimization (DRO) for deep neural networks

Python Library for Robustness Monitoring and Adversarial Debugging of NLP models

Crosswords puzzle generator and publisher using Constraints Satisfaction Problem (CSP) technique. With minimal backtracks.

Robust optimization module

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.

Оптимизация долгосрочного портфеля акций

Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.

Code and data for the article "Reliable Frequency Regulation through Vehicle-to-Grid: From EU Legislation to Robust Optimization" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://arxiv.org/pdf/2005.06042.pdf. This project was funded by the Institut VEDECOM.

Robust Simulation Optimization Kriging

Distributionally Robust Graphical Models