@MISC{kakade10regularization,
AUTHOR = {Sham M. Kakade and Shai Shalev-Shwartz and Ambuj Tewari},
TITLE = {Regularization Techniques for Learning with Matrices},
YEAR = {2010},
NOTE = {preprint},
PDF = {research/kakade10regularization.pdf}
}
@MISC{saha10finite,
AUTHOR = {Ankan Saha and Ambuj Tewari},
TITLE = {On the Finite Time Convergence of Cyclic Coordinate Descent Methods},
YEAR = {2010},
NOTE = {preprint},
PDF = {research/saha10finite.pdf}
}
@INPROCEEDINGS{duchi10composite,
AUTHOR = {John Duchi and Shai Shalev-Shwartz and Yoram Singer and Ambuj Tewari},
TITLE = {Composite Objective Mirror Descent},
YEAR = {2010},
BOOKTITLE = {Proceedings of the 23rd Annual Conference on Learning Theory},
PDF = {research/duchi10composite.pdf}
}
@INPROCEEDINGS{sridharan10convex,
AUTHOR = {Karthik Sridharan and Ambuj Tewari},
TITLE = {Convex Games in {B}anach Spaces},
YEAR = {2010},
BOOKTITLE = {Proceedings of the 23rd Annual Conference on Learning Theory},
PDF = {research/sridharan10convex.pdf}
}
@INPROCEEDINGS{kakade10learning,
AUTHOR = {Sham M. Kakade and Ohad Shamir and Karthik Sridharan and Ambuj Tewari},
TITLE = {Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity},
BOOKTITLE = {Proceedings of the 13th International Conference on Artificial Intelligence and Statistics},
SERIES = {JMLR Workshop and Conference Proceedings},
VOLUME = {9},
YEAR = {2010},
PAGES = {381--388},
URL = {http://jmlr.csail.mit.edu/proceedings/papers/v9/},
PDF = {research/kakade10learning.pdf}
}
@INPROCEEDINGS{bartlett09regal,
AUTHOR = {Peter L. Bartlett and Ambuj Tewari},
TITLE = {{REGAL}: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating {MDP}s},
BOOKTITLE = {Proceedings of the 25th Annual Conference on Uncertainty in Artificial Intelligence},
YEAR = {2009},
URL = {http://www.cs.mcgill.ca/~uai2009/proceedings.html},
PDF = {research/bartlett09regal.pdf}
}
@INPROCEEDINGS{shalev-shwartz09stochastic,
AUTHOR = {Shai Shalev-Shwartz and Ambuj Tewari},
TITLE = {Stochastic Methods for $l_1$ Regularized Loss Minimization},
BOOKTITLE = {Proceedings of the 26th International Conference on Machine Learning},
PAGES = {929--936},
YEAR = {2009},
PUBLISHER = {ACM Press},
URL = {http://doi.acm.org/10.1145/1553374.1553493},
PDF = {research/shalev-shwartz09stochastic.pdf}
}
@INPROCEEDINGS{kakade09generalization,
AUTHOR = {Sham M. Kakade and Ambuj Tewari},
TITLE = {On the Generalization Ability of Online Strongly Convex Programming Algorithms},
BOOKTITLE = {Advances in Neural Information Processing Systems 21},
PAGES = {801--808},
YEAR = {2009},
PUBLISHER = {MIT Press},
URL = {http://books.nips.cc/nips21.html},
PDF = {research/kakade09generalization.pdf}
}
@INPROCEEDINGS{kakade09complexity,
AUTHOR = {Sham M. Kakade and Karthik Sridharan and Ambuj Tewari},
TITLE = {On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization},
BOOKTITLE = {Advances in Neural Information Processing Systems 21},
PAGES = {793--800},
YEAR = {2009},
PUBLISHER = {MIT Press},
URL = {http://books.nips.cc/nips21.html},
PDF = {research/kakade09complexity.pdf}
}
@INPROCEEDINGS{bartlett08high-probability,
AUTHOR = {Peter L. Bartlett and Varsha Dani and Thomas P. Hayes and Sham M. Kakade and Alexander Rakhlin and Ambuj Tewari},
TITLE = {High-probability Regret Bounds for Bandit Online Linear Optimization},
BOOKTITLE = {Proceedings of the 21st Annual Conference on Learning Theory},
PAGES = {335--342},
YEAR = {2008},
PUBLISHER = {Omnipress},
URL = {http://colt2008.cs.helsinki.fi/programme.shtml},
PDF = {research/bartlett08high-probability.pdf}
}
@INPROCEEDINGS{abernethy08optimal,
AUTHOR = {Jacob Abernethy and Peter L. Bartlett and Alexander Rakhlin and Ambuj Tewari},
TITLE = {Optimal Strategies and Minimax Lower Bounds for Online Convex Games},
BOOKTITLE = {Proceedings of the 21st Annual Conference on Learning Theory},
PAGES = {414--424},
YEAR = {2008},
PUBLISHER = {Omnipress},
URL = {http://colt2008.cs.helsinki.fi/programme.shtml},
PDF = {research/abernethy08optimal.pdf}
}
@INPROCEEDINGS{kakade08efficient,
AUTHOR = {Sham M. Kakade and Shai Shalev-Shwartz and Ambuj Tewari},
TITLE = {Efficient Bandit Algorithms for Online Multiclass Prediction},
BOOKTITLE = {Proceedings of the 25th International Conference on Machine Learning},
YEAR = {2008},
PAGES = {440--447},
PUBLISHER = {ACM Press},
URL = {http://doi.acm.org/10.1145/1390156.1390212},
PDF = {research/kakade08efficient.pdf}
}
@INPROCEEDINGS{tewari08optimistic,
AUTHOR = {Ambuj Tewari and Peter L. Bartlett},
TITLE = {Optimistic Linear Programming gives Logarithmic Regret for Irreducible {MDPs}},
BOOKTITLE = {Advances in Neural Information Processing Systems 20},
YEAR = {2008},
PUBLISHER = {MIT Press},
PAGES = {1505--1512},
URL = {http://books.nips.cc/nips20.html},
PDF = {research/tewari08optimistic.pdf}
}
@INPROCEEDINGS{tewari07bounded,
AUTHOR = {Ambuj Tewari and Peter L. Bartlett},
TITLE = {Bounded Parameter {M}arkov Decision Processes with Average Reward Criterion},
BOOKTITLE = {Proceedings of the 20th Annual Conference on Learning Theory},
YEAR = {2007},
PAGES = {263--277},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {4539},
PDF = {research/tewari07bounded.pdf},
URL = {http://dx.doi.org/10.1007/978-3-540-72927-3_20}
}
@ARTICLE{tewari07consistency,
AUTHOR = {Ambuj Tewari and Peter L. Bartlett},
TITLE = {On the Consistency of Multiclass CLassification Methods},
JOURNAL = {Journal of Machine Learning Research},
YEAR = {2007},
VOLUME = {8},
MONTH = {May},
PAGES = {1007--1025},
NOTE = {(Invited paper)},
PDF = {research/tewari07consistency.pdf},
URL = {http://jmlr.csail.mit.edu/papers/v8/tewari07a.html}
}
@ARTICLE{bartlett07sparseness,
AUTHOR = {Peter L. Bartlett and Ambuj Tewari},
TITLE = {Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results},
JOURNAL = {Journal of Machine Learning Research},
YEAR = {2007},
VOLUME = {8},
MONTH = {Apr},
PAGES = {775--790},
PDF = {research/bartlett07sparseness.pdf},
URL = {http://jmlr.csail.mit.edu/papers/v8/bartlett07a.html}
}
@INPROCEEDINGS{bartlett07sample,
AUTHOR = {Peter L. Bartlett and Ambuj Tewari},
TITLE = {Sample Complexity of Policy Search with Known Dynamics},
YEAR = {2007},
PAGES = {97--104},
BOOKTITLE = {Advances in Neural Information Processing Systems 19},
PUBLISHER = {MIT Press},
PDF = {research/bartlett07sample.pdf},
URL = {http://books.nips.cc/nips19.html}
}
@INPROCEEDINGS{tewari05consistency,
AUTHOR = {Ambuj Tewari and Peter L. Bartlett},
TITLE = {On the Consistency of Multiclass Classification Methods},
BOOKTITLE = {Proceedings of the 18th Annual Conference on Learning Theory},
YEAR = {2005},
PAGES = {147--153},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {3559},
NOTE = {Student Paper Award},
PDF = {research/tewari05consistency.pdf},
URL = {http://dx.doi.org/10.1007/11503415_10}
}
@INPROCEEDINGS{bartlett04sparseness,
AUTHOR = {Peter L. Bartlett and Ambuj Tewari},
TITLE = {Sparseness versus Estimating Conditional Probabilities: Some Asymptotic Results},
BOOKTITLE = {Proceedings of the 17th Annual Conference on Learning Theory},
YEAR = {2004},
PAGES = {564--578},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {3120},
PDF = {research/bartlett04sparseness.pdf},
URL = {http://springerlink.metapress.com/link.asp?id=0p46xx6w26qdwpqx}
}
@INPROCEEDINGS{tewari02parallel,
AUTHOR = {Ambuj Tewari and Utkarsh Srivastava and Phalguni Gupta},
TITLE = {A Parallel {DFA} Minimization Algorithm},
BOOKTITLE = {Proceedings of the 9th International Conference on High Performance Computing},
YEAR = {2002},
PAGES = {34--40},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {2552},
PDF = {research/tewari02parallel.pdf},
URL = {http://springerlink.metapress.com/link.asp?id=kkcx5q70epjdnq5c}
}
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