Matthew Joseph Kusner

I am pursing my doctoral degree in Machine Learning under the direction of Kilian Weinberger at Washington University in St. Louis. My work is in document distances, differential privacy, budgeted learning, submodular optimization, dataset compression, and Bayesian optimization

Site Last updated 05/23/15

Publications
[PDF] Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger
From Word Embeddings To Document Distances
International Conference on Machine Learning (ICML), 2015

[PDF] Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger
Differentially Private Bayesian Optimization
International Conference on Machine Learning (ICML), 2015

[PDF] Zhixiang (Eddie) Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle
Classifier Cascades and Trees for Minimizing Feature Evaluation Cost
Journal of Machine Learning Research (JMLR), 2014

[PDF]Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, Yixin Chen
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
AAAI Conference on Artificial Intelligence (AAAI), 2014

[PDF] [Poster]Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal
Stochastic Neighbor Compression
International Conference on Machine Learning (ICML), 2014

[PDF]Jacob R. Gardner, Matt J. Kusner, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, John P. Cunningham
Bayesian Optimization with Inequality Constraints
International Conference on Machine Learning (ICML), 2014

[PDF] Zhixiang (Eddie) Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger
Anytime Feature Learning
International Conference on Machine Learning (ICML), 2013

[PDF] Zhixiang (Eddie) Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
Cost-Sensitive Tree of Classifiers
International Conference on Machine Learning (ICML), 2013

Time-Sensitive Datasets

This section is currently under construction...

Go-Kart
Over the summer my brothers and I constructed a go-kart essentially
from scratch. What I mean is that, we acquired parts meant for
go-karts such as a centrifugal clutch, a disc brake, a go-kart axle,
etc... But the assembly was custom. Here's a front shot of
the final product:












Kinect + Processing + Arduino
Currently, I'm working on a project in which particular gestures,
recognized by an Xbox Kinect, control an Arduino-based robot. The
main idea is to experiment with a simple, intuitive method for robot
control. With this in mind, my younger brothers and I are working on
making small robots which turn lightswitches on or off if a particular
gesture is performed.

Below is a point cloud, gotten from initial testing with Processing:












Environment classification
Fall semester of my sophomore year I was engaged in an independent
study with Professor Susan Fox of the Computer Science department
at Macalester College. For this, I implemented a multi-layered
feed-forward neural network to classify four different environments:
hallways, common areas, stairwells, and classrooms.
For greater detail and the python code, here is the project write-up:
Write-up

Radio-controlled lawn mower
The summer after my first year of undergraduate study I designed
and created a radio-controlled device to mow grass. The device is
equipped with an electric weed-wacker motor as well as two electric
drive motors and two casters.
While the first prototype drives effectively on smooth surfaces, the
drive motors do not have sufficient torque to move the device on
grass.

Below are pictures of the first prototype:











Contact Information
Office: 422A Jolley Hall
Address: Washington University. 1 Brookings Drive. St. Louis, MO 63130
Feel free to email me at: matt dot kusner at gmail dot com