About me
I will be graduating this summer (2010) and then beginning a postdoc at
IBM's Watson research center in Yorktown Heights, NY. My general area
is the theoretical foundations of artificial
intelligence.
Please see my CV, research
statement, teaching statement, overview presentation and preliminary draft of my thesis for more about me.
I'm fond of:
- Foundations. Many of the problems I have
studied so far date from the 1960s and 1990s.
- Applicability. I prefer problems that seem likely to have direct or indirect impact on forseeable applications. I love things like Turing machines which have an obvious (though indirect) connection to applications, but I'm not the type to invent number theory 100 years before its applications appear.
- Simplicity. I generally would rather have an extra log
n factor in the runtime than an extra 3 pages in the description of the algorithm.
- Randomization. I've observed a totally unplanned pattern that my papers usually involve probability.
Slightly more concretely, I am interested in parts of:
- Approximation Algorithms
- Game theory and Voting
- Machine learning
- Branch and bound and related techniques for
practical combinatorial optimization.
- Programming languages and compilation
- Logic and verification
Publications
Approximation Algorithms
- Faster Algorithms for Feedback Arc Set Tournament, Kemeny Rank
Aggregation and Betweenness Tournament - in submission (with Marek
Karpinski).
- Approximation Schemes for the Betweenness Problem in Tournaments
and Related Ranking Problems - in
submission (with Marek Karpinski).
- Online correlation clustering - to appear in STACS 2010 (with
Ocan Sankur and Claire Mathieu).
- Correlation Clustering with Noisy Input - SODA 2010 version and
presentation (with Claire
Mathieu).
- Linear-Time Approximation Schemes for the Gale-Berlekamp Game
and Related Minimization Problems - Revised STOC
2009 version and presentation (with
Marek Karpinski).
- Yet Another Algorithm for Dense Max-Cut: Go Greedy - SODA 2008 paper and presentation (with Claire Mathieu).
- How to Rank with Few Errors: A PTAS for Weighted Feedback Arc Set on
Tournaments - draft journal
version, STOC 2007
version (out of date) and presentation.
(with Claire
Mathieu).
Other
The best ways to contact me are email and stopping by my office.
| Email: | ws at cs dot brown dot edu |
| Office: | CIT 355 (Directions to building) |
| US Mail: |
Warren Schudy
Department of Computer Science
Brown University, Box 1910
Providence, RI 02912-1910
|
| Street address / Packages: |
Warren Schudy
Department of Computer Science
Brown University
115 Waterman Street, 4th Floor
Providence, RI 02912
|
| Phone (front desk): | (401) 863-7600 |
| Fax (shared): | (401) 863-7657 |
Personal webpage
My papers and presentations are copyrighted 2005-2009 by myself and/or their respective publishers and are made available here for personal use only.