My thesis is here.

I was a grad student in the Machine Learning department at CMU. I was working with Professor Steven Fienberg of the statistics department, looking at ways to do some traditional data mining tasks (density estimation, classification etc.) in a way which respects ``privacy'' of the underlying data.

Previously I worked with Andrew McCallum at UMass, looking at machine learning for record linkage in a variety of different settings.

Before that, when I was an undergrad I did a project with Arnold Rosenberg regarding grid computing whereupon I lowered my Erdos number to 3.

Teaching

• Fall 2011: 36-755 Advanced Statistical Theory I (I was the sole TA).
• Fall 2010: 10-701 Machine Learning (I was one of 5 TAs in a massive class)

2012

Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources
Stephen Fienberg, Robert Hall, Yuval Nardi
Journal of Privacy and Confidentiality, 4(1), pp 189--691.
poster.

Differential Privacy in Reproducing Kernel Hilbert Spaces
Rob Hall, Alessandro Rinaldo, Larry Wasserman
ICML 2012 Workshop on Reproducing Kernel Hilbert Spaces.
slides.

2011

Secure Multiparty Linear Regression Based on Homomorphic Encryption
Robert Hall, Stephen Fienberg, Yuval Nardi
Journal of Official Statistics, 27(4), pp 669 -- 691.

Approaches to Multiple Record Linkage
Mauricio Sadinle, Robert Hall, Stephen Fienberg
ISI 2011, invited paper

2010

2009

2008

2007

Canonicalization of Database Records using Adaptive Similarity Measures
Aron Culotta, Michael Wick, Robert Hall, Matthew Marzilli, Andrew McCallum
KDD, 2007

Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function
Aron Culotta, Pallika Kanani, Robert Hall, Michael Wick, Andrew McCallum
IIWeb-07
slides

First-Order Probabilistic Models for Coreference Resolution
Aron Culotta, Michael Wick, Robert Hall, Andrew McCallum
HLT/NAACL, 2007

A Comparison of Dag-Scheduling Strategies for Internet-Based Computing
R. Hall, A. Rosenberg, A. Venkataramani.
IPDPS 2007

Arbitrary Other Stuff

In addition to machine learning I also enjoy running and have begun tracking my progress here

During the summer of 2012 I have rediscovered my interest in writing little openGL demos, which is now made even simpler due to the advent of webGL you can see some little demos I've made here.