NicholasJohnson2020
MIT PhD Candidate in the Operations Research Center. Research focus: optimizations, statistics, machine learning.
PhD Candidate at MIT
Pinned Repositories
BIXI-Montreal
An Empirical Investigation into Predicting BIXI Montreal Bikeshare Hourly Volumes
Deep-Neural-Network-Numpy-
Implements a Deep Neural Network in Python only using Numpy
DiscreteCompressedSensing.jl
Software supplement for the paper "Compressed Sensing: A Discrete Optimization Approach" by Dimitris Bertsimas and Nicholas A. G. Johnson
FPC-RDJ
LearningLowRankMatrices
Software supplement for the paper "Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM" by Dimitris Bertsimas and Nicholas A. G. Johnson
Non-Interactive-Private-Data-Release
Generating Privacy Preserving Synthetic Datasets by Using Differentially Private GANs
ReLU-NN-Function-Approximation
Proof of a Universal Approximation Theorem for ReLU based Neural Networks and An Empirical Investigation of the Resulting Bound
ResNet-Implementation
Implementation of a ResNet in PyTorch to classify CIFAR-10 based on a Microsoft Research Paper
SparseLowRankSoftware
Software supplement for the paper "Sparse and Low Rank Matrix Decomposition: A Discrete Optimization Approach" by Dimitris Bertsimas, Ryan Cory-Wright and Nicholas A. G. Johnson
ROptimus
ROptimus: a parallel general purpose adaptive optimisation engine
NicholasJohnson2020's Repositories
NicholasJohnson2020/SparseLowRankSoftware
Software supplement for the paper "Sparse and Low Rank Matrix Decomposition: A Discrete Optimization Approach" by Dimitris Bertsimas, Ryan Cory-Wright and Nicholas A. G. Johnson
NicholasJohnson2020/DiscreteCompressedSensing.jl
Software supplement for the paper "Compressed Sensing: A Discrete Optimization Approach" by Dimitris Bertsimas and Nicholas A. G. Johnson
NicholasJohnson2020/Non-Interactive-Private-Data-Release
Generating Privacy Preserving Synthetic Datasets by Using Differentially Private GANs
NicholasJohnson2020/ReLU-NN-Function-Approximation
Proof of a Universal Approximation Theorem for ReLU based Neural Networks and An Empirical Investigation of the Resulting Bound
NicholasJohnson2020/ResNet-Implementation
Implementation of a ResNet in PyTorch to classify CIFAR-10 based on a Microsoft Research Paper
NicholasJohnson2020/BIXI-Montreal
An Empirical Investigation into Predicting BIXI Montreal Bikeshare Hourly Volumes
NicholasJohnson2020/Deep-Neural-Network-Numpy-
Implements a Deep Neural Network in Python only using Numpy
NicholasJohnson2020/FPC-RDJ
NicholasJohnson2020/LearningLowRankMatrices
Software supplement for the paper "Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM" by Dimitris Bertsimas and Nicholas A. G. Johnson
NicholasJohnson2020/NicholasJohnson2020.github.io
NicholasJohnson2020/Sequential-Network-Structure-Optimization
NicholasJohnson2020/TSSOS
A sparse polynomial optimization tool based on the moment-SOS hierarchy.