ELEVEN is a 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.

Reliability based design optimization of a non-linear controller

Robust Conjugate Direction Search (noisy objective optimization)

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

This project provides algorithms for solving robust binary optimization problems with budgeted uncertainty in the objective function.

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"

Undergraduate Thesis

Code for the experiments in the paper "Contextual Robust Optimisation with Uncertainty Quantification".

Pytorch Implementation of Robust Convolutional LSTM Encoder–decoder (RCLED)

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

Art of finding minimum. Python implementations from scratch.

Package of robust GPR inversion using Huber norm and source separation

Distributionally Robust Graphical Models

Modelling and optimization for microgrids, energy hubs, distribution systems and transmission systems

Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

Coping with Label Shift via Distributionally Robust Optimisation