I am now a programmer at Etsy

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.

- 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)

Rob Hall, Alessandro Rinaldo, Larry Wasserman

JMLR.

Rob Hall and Stephen Fienberg

PSD 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.

Rob Hall, Alessandro Rinaldo, Larry Wasserman

Under review.

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

Robert Hall, Stephen Fienberg

Privacy in Statistical databases (PSD) 2010

poster.

Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, Vanja Josifovski

CIKM 2009

slides (rough).

Robert Hall, Charles Sutton, Andrew McCallum

KDD 2008

slides.

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

Nov 5th, 2012.

Secure Multiparty Regression Based on Homomorphic Encryption

Penn State University, Theory Seminar March 2011

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.