machine-learning

A fast crowdsourced vote aggregation algorithm

Research Internship at the University of Tokyo in the summer of 2018

Research Internship at Robert Bosch in the summer of 2017

Many real world problems can now be effectively solved using supervised machine learning. A major roadblock is often the lack of an adequate quantity of labeled data for training. A possible solution is to assign the task of labeling data to a crowd, …

Application of momentum in second order methods, such as Newton's method and BFGS

Implementation of the model described in "Training deep neural nets to aggregate crowdsourced responses." by Gaunt et al.

Techniques to effectively perform multi-label classification from a very large set of labels

A program that simulates answers given by a crowd to multiple choice questions with either a single or multiple answers correct, and writes it to a CSV