Bo Waggoner


Maxwell-Dworkin 219
33 Oxford Street
Cambridge, MA 02138

I am a Ph.D. candidate at Harvard University in Computer Science (what is Computer Science?).

My research interests are mainly in theoretical CS, artificial intelligence, and mechanism design. I am a part of Harvard's EconCS group (what is EconCS?), advised by Yiling Chen. I graduated from Duke University in 2011 studying math and computer science. I'm an avid runner.
Page last modified: 2014-06-28.
Contents: Research Interests, Teaching, Publications, Talks, Writeups

See also: My misc page
       

Research Interests

Mostly in theoretical CS and microeconomics, especially mechanism design (from an algorithmic perspective).

Specific topics: algorithmic auction design, information elicitation (particularly in crowdsourcing settings, from both game-theoretic and machine-learning perspectives), online algorithms (particularly online bipartite matching problems), differential privacy, computational social choice (e.g. fair division, voting), computational learning theory (e.g. testing of discrete distributions).



Teaching

Fall 2013:
CS 284r, Incentives and Information in Networks. with Professor Yaron Singer.
Teaching Fellow.

Fall 2012: CS 121, Intro to Theory of Computation. with Professor Salil Vadhan.
Teaching Fellow.



Publications

Output Agreement Mechanisms and Common Knowledge
Bo Waggoner and Yiling Chen.
Proceedings of the Second AAAI Conference on Human Computation (HCOMP-14).
    To appear. See also workshop version "Information Elicitation Sans Verification", containing essentially the same results but with a different presentation.

Designing Markets for Daily Deals.
Yang Cai, Mohammad Mahdian, Aranyak Mehta, and Bo Waggoner.
Proceedings of the Ninth Conference on Web and Internet Economics (WINE-13).
    Also available on arxiv. Both links are the "full" version.

Evaluating Resistance to False-Name Manipulations in Elections.
Bo Waggoner, Lirong Xia, and Vincent Conitzer.
Proceedings of the Twenty-Sixth AAAI Conference on Artifical Intelligence (AAAI-12).
    Supplementary: simulation code.


Workshop Papers

Information Elicitation Sans Verification.
Bo Waggoner and Yiling Chen.
The 3rd Workshop on Social Computing and User-Generated Content, at EC-13.



Talks

2014-01-10. Toward Buying Labels from the Crowd.
Indo-US Lectures Week in Machine Learning, Game Theory, and Optimization, Bangalore.
    slides (pdf), slides and notes (pdf).

2013-12-13. Designing Markets for Daily Deals.
The 9th Conference on Web and Internet Economics (WINE-13), Cambridge, MA.
    slides (Google presentation, with notes), slides (pdf), slides and notes (pdf).

2013-06-16. Information Elicitation Sans Verification.
The 3rd Workshop on Social Computing and User-Generated Content (SCUGC), at EC-13, Philadelphia, PA.
    slides (pdf).

2012-03-26. Evaluating Resistance to False-Name Manipulations in Elections.
Harvard EconCS Group.
    slides (pptx), slides (pdf), slides and notes (pdf).



Writeups

Useful Tips, Tricks, and Techniques. A list-in-progress I am compiling of some of the most common and useful approximations, inequalities, bounds, proof techniques, etc. for theoretical computer science.

Jumpstart GLPK. Intro by examples to the GNU Linear Programming Kit's stand-alone LP solver, glpsol.
    Supplementary: example0.mod, example1.mod.

Jumpstart Flex/Bison. Basic examples and how-to for flex and bison, the lexing and parsing tools for writing compilers using C or C++ (the free versions of lex and yacc).
    Supplementary: all example files (zip), example0.l, example0.y, example1.l, example1.y.

Jumpstart LaTeX. Intro by examples to LaTeX.
    Supplementary: all example files (zip), example0.tex, example1.tex, example2.tex, bibexample.tex, bibexample.bib.

Jumpstart Linux. Quick intro to Linux and the command line for the absolute beginner.




Possible misspellings of my name include "Bo Wagner" and "Bo Wagoner".