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Peer-reviewed conferences and journals
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- First-order mixed integer linear programming,
with G. J. Gordon and S. A. Hong,
Proceedings of the 25th Conference on
Uncertainty in Artificial Intelligence, 2009,
[pdf]
- A sampling-based approach to computing equilibria in succinct
extensive-form games,
with G. J. Gordon,
Proceedings of the 25th Conference on
Uncertainty in Artificial Intelligence, 2009,
[pdf]
- Sample selection bias and presence-only distribution models:
implications for background and pseudo-absence data,
with S. J. Phillips, J. Elith et al., Ecological Applications 19:1,
2009, 181-197,
[pdf]
- Generative and discriminative learning with unknown labeling bias,
with S. J. Phillips, Advances in Neural Information Processing
Systems 21, 2009,
[ps]
[pdf]
- Modeling of species distributions with Maxent: new extensions and a
comprehensive evaluation,
with S. J. Phillips, Ecography 31:2, 2008, 161-175,
[pdf]
- Maximum entropy density estimation with generalized regularization and an
application to species distribution modeling,
with S. J. Phillips and R. E. Schapire, Journal of Machine Learning Research 8,
2007, 1217-1260,
[journal]
- Hierarchical maximum entropy density estimation,
with D. M. Blei and R. E. Schapire, Proceedings of the 24th
International Conference on Machine Learning, 2007,
[pdf]
[video]
- Maximum entropy distribution estimation with generalized regularization,
with R. E. Schapire, Proceedings of the 19th Annual Conference on Learning Theory,
2006, 123-138,
[pdf]
- Novel methods improve prediction of species' distributions from occurrence data,
with J. Elith, C. Graham et al., Ecography 29:2, 2006, 129-151,
[pdf]
- Correcting sample selection bias in maximum entropy density estimation,
with R. E. Schapire and S. J. Phillips, Advances in Neural Information Processing
Systems 18, 2006,
[ps]
[pdf]
- Performance guarantees for regularized maximum entropy density estimation,
with S. J. Phillips and R. E. Schapire, Proceedings of the 17th Annual Conference on Learning Theory, 2004, 472-486,
[ps]
[pdf]
- A maximum entropy approach to species distribution modeling,
with S. J. Phillips and R. E. Schapire, Proceedings of the 21st
International Conference on Machine Learning, 2004, 655-662,
[ps]
[pdf]
- Reconstruction from subsequences,
with L. J. Schulman, J. Combinatorial Theory Series A 103, 2003, 337-348,
[journal]
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