Lossless conversion algorithm for converting Cortical Learning Algorithm binary vectors to Modular Composite Representation vectors. Implements Integer Sparse Distributed Memory.

Random Forest Two Sample Testing

An R package for regression analysis of data from extreme sampling

A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems

PH-tree (Permutation Hierarchical Tree) implementation in Go.

The Artificial Bee Colony (ABC) algorithm that optimizes high dimensional continuous model parameters.

High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction

Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems

An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB

This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360

Official Implementation of On Optimal Private Online Stochastic Optimization and High Dimensional Decision Making

Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems

Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the …

Implementation MWPCR with R

R package for Non-local Prior Based Iterative Variable Selection for Genome-Wide Association Studies, or Other High-Dimensional Data

This is a repository associated with the paper "Near-optimal sampling strategies for multivariate function on general domains" by Ben Adcock and Juan M. Cardenas available at https://epubs.siam.org/doi/10.1137/19M1279459 and https://arxiv.org/abs/1908.01249

Optimal Transport - Monge, Bregman and Occam Estimator (A Short Tutorial)

R Package: Adaptively weighted group lasso for semiparametic quantile regression models

[TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

Locally Sensitive Hashing based embedding for High Dimensional Multivariate Time Series