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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

 

PUBLICATIONS

  • 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)

  • 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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