Luis Ortiz
Contact Information
Address
Computer Science and Artificial Intelligence Laboratory
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
32-G482
32 Vassar Street
Cambridge, MA 02139-4307
Phone: (617) 253-3658 (office)
Fax: (617) 452-5034
Email: leortiz [at] csail [dot] mit [dot] edu
Quick Links
Teaching
Research Interests
Biographical Information
Ph.D. Thesis
All Publications
Representative Publications
Additional Experience
Research Interests
Artificial intelligence, machine
learning; computational game theory, economics and finance; computational biology; graphical models; computational probability and statistics.
Biographical Information
I am currently a Postdoctoral Lecturer at the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT).
From January 2002 thru August 2004, I was a
Postdoctoral Researcher at the
Department of Computer and
Information Science of the School
of
Engineering and Applied Science at the University of Pennsylvania,
working with Professor Michael
Kearns.
I completed my Sc.M. (1998) and
Ph.D. (2001;
Conferred May 2002) from the Department
of Computer
Science at Brown University.
My advisor was Leslie
Kaelbling, now
at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). The subject of my
dissertation, entitled Selecting
Approximately-Optimal Actions in Complex Structured Domains, is
sampling methods for solving influence
diagrams and the related problem of estimation in graphical models,
including probabilistic inference in Bayesian networks.
I obtained a B.S. degree in Computer Science from the Institute of
Technology (IT) at the University of
Minnesota, Twin Cities.
My undergraduate advisor was Maria
Gini.
Ph.D. Thesis
Selecting
Approximately-Optimal Actions in Complex Structured Domains
[Compressed Postscript] [PDF]
Representative Publications
Sham Kakade, Michael
Kearns, John
Langford and Luis Ortiz. Correlated
Equilibria in Graphical Games, ACM
Conference on Electronic Commerce (EC), 2003.
[Postscript]
[Compressed
Postscript] [PDF]
Luis
E. Ortiz and Michael
Kearns. Nash Propagation for
Loopy Graphical Games, Neural Information Processing
Systems (NIPS), 2002.
[Postscript]
[Compressed
Postscript] [PDF]
Luis
E. Ortiz and Leslie Pack
Kaelbling. Adaptive Importance
Sampling for Estimation
in Structured Domains, Proceeding of the Sixteenth
Conference on Uncertainty in Artificial Intelligence (UAI), 2000.
[Postscript]
[Compressed Postscript]
[PDF]
Luis
E. Ortiz and Leslie Pack
Kaelbling. Sampling Methods for
Action Selection in
Influence Diagrams, Proceedings of the Seventeenth
National Conference on Artificial Intelligence (AAAI), 2000.
[Postscript]
[Compressed Postscript]
[PDF]
Additional Experience
From
October to December
2001, I was a consultant in the area of artificial intelligence and
machine learning at AT&T
Labs-Research's Artificial Intelligence
Principles group at Shannon Labs in Florham Park, NJ.
While
attending the
University of Minnesota, I
worked as an
Undergraduate TA for a programming course in C during the Fall
quarter of 1994. I also served as
both a voluntary and paid Tutor in Math, Sciences, and Computer Science
for the Project
Technology Power program for several quarters.
Under the
supervision of University of Minnesota Professor Maria Gini, I also worked in the design and
implementation of a strategy for our small robot
(walleye) to compete in the Pick-up-the-Trash
event of the IJCAI'95 Robotics
Competition in Montreal, Canada. We placed third in
that event. Click here
to download a mpeg
file of walleye in action.
Between 1992 and 1994, I worked as
a programmer for
IBM-Rochester as part of their Summer
Pre-Professional Student Program.
Luis E. Ortiz
Last modified: Thu Feb 9 07:43:50 EST 2006