ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
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Updated
Jul 18, 2024 - MATLAB
ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
This repository provides a unified framework to perform Optimization experiments across Stochastic, Mini-Batch, Decentralized and Federated Setting.
Robust Conjugate Direction Search (noisy objective optimization)
Python code for "Hao Shen, Mengying Xue, and Zuojun Max Shen (2023), Data-driven Reliable Faciltiy Location Problem, Management Science, Forthcoming"
Reliability based design optimization of a non-linear controller
Boosting is one of the methods contained in Ensemble Learning. This technique makes it possible to combine several models into one more robust model.
NTHU 2021 Fall, Robust and Stochastic Portfolio Optimization
Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
Hyperparameter tuning using a robust simulation optimization framework
Geometric median (GM) is a classical method in statistics for achieving a robust estimation of the uncorrupted data; under gross corruption, it achieves the optimal breakdown point of 0.5. However, its computational complexity makes it infeasible for robustifying stochastic gradient descent (SGD) for high-dimensional optimization problems. In th…
Implementation for "Adjustable robust optimization with objective uncertainty"
Guided Adversarial Robust Transfer Learning with Source Mixing
This project provides algorithms for solving robust binary optimization problems with budgeted uncertainty in the objective function.
Undergraduate Thesis
Pytorch Implementation of Robust Convolutional LSTM Encoder–decoder (RCLED)
Code for the experiments in the paper "Contextual Robust Optimisation with Uncertainty Quantification".
This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.
A Julia package for multiple kernel learning aided two-stage robust optimization.
Art of finding minimum. Python implementations from scratch.
Package of robust GPR inversion using Huber norm and source separation
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