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Research
My research is in theoretical computer science. My research
interests include complexity theory (in particular, communication
complexity, circuit complexity, and analytic measures of complexity),
computational learning theory, and quantum computing.
| Lower bounds in communication complexity and learning theory via analytic
methods
Ph.D. Thesis
University of Texas at Austin, August 2009
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PUBLICATIONS
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Optimal bounds for sign-representing the intersection of two halfspaces
by polynomials.
A. A. Sherstov
Manuscript on arXiv, October 2009.
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The intersection of two halfspaces has high threshold degree.
A. A. Sherstov
FOCS 2009
BEST STUDENT PAPER AWARD
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On quantum-classical equivalence for composed communication problems.
A. A. Sherstov
Manuscript at quant-ph/0906.1399, June 2009.
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The sign-rank of AC0.
A. A. Razborov, A. A. Sherstov
FOCS 2008
To appear in SIAM Journal on Computing, 2010.
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The unbounded-error communication complexity of symmetric functions.
A. A. Sherstov
FOCS 2008
Journal version: accepted to Combinatorica.
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Communication lower bounds using dual polynomials.
A. A. Sherstov
Bulletin of the EATCS, 95:59-93, 2008.
INVITED SURVEY ARTICLE
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The pattern matrix method.
A. A. Sherstov
STOC 2008
To appear in SIAM Journal on Computing (special issue for
STOC 2008).
Original title: "The pattern matrix method for lower bounds on quantum
communication"
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Approximate inclusion-exclusion for arbitrary symmetric functions.
A. A. Sherstov
CCC 2008
BEST STUDENT PAPER AWARD
Journal version: Computational Complexity,
18(2):219-247, 2009.
(Special issue for CCC 2008.)
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Communication complexity under product and nonproduct distributions.
A. A. Sherstov
CCC 2008
Journal version: Computational Complexity, 2009. To appear.
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Halfspace matrices.
A. A. Sherstov
CCC 2007
BEST STUDENT PAPER AWARD
Journal version: Computational Complexity, 17(2):149-178, 2008.
(Special issue for CCC 2007.)
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Separating AC0 from depth-2 majority circuits.
A. A. Sherstov
STOC 2007
Journal version: SIAM Journal on Computing,
38(6):2113-2129, 2009.
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A lower bound for agnostically learning disjunctions.
A. R. Klivans, A. A. Sherstov
COLT 2007
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Cryptographic hardness for learning intersections of halfspaces.
A. R. Klivans, A. A. Sherstov
FOCS 2006
Journal version: J. Computer and System Sciences,
75(1):2-12, 2009.
(Invited paper, special issue on learning theory.)
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Unconditional lower bounds for learning intersections of halfspaces.
A. R. Klivans, A. A. Sherstov
COLT 2006
BEST STUDENT PAPER AWARD
Journal version: Machine Learning, 69(2-3):97-114, 2007.
(Special issue on COLT 2007.)
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Powering requires threshold depth 3.
A. A. Sherstov
Journal version: Information Processing Letters, 102(2-3):104-107, 2007.
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At the beginning of my Ph.D. program (2003-2004),
I also did research in artificial intelligence. My
projects focused on knowledge transfer, reinforcement learning,
and electronic commerce. As part of my work, I co-organized
the ICML 2004 Physiological Data Modeling workshop and contest.
PUBLICATIONS IN ARTIFICIAL INTELLIGENCE (2003-2004)
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Improving action selection in MDP's via knowledge transfer.
A. A. Sherstov, P. Stone
20th National Conference on Artificial Intelligence
(AAAI), 2005.
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Function approximation via tile coding: Automating parameter choice.
A. A. Sherstov, P. Stone
6th Symposium on Abstraction, Reformulation, and Approximation
(SARA), 2005.
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Three automated stock-trading agents: A comparative study.
A. A. Sherstov, P. Stone
6th AAMAS Workshop on Agent Mediated Electronic Commerce (AMEC),
2004.
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