Novel methods improve prediction of species’ distributions from occurrence data J Elith*, C H. Graham*, R P. Anderson, M Dudík, S Ferrier, A Guisan, ... Ecography 29 (2), 129-151, 2006 | 6399 | 2006 |

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation SJ Phillips, M Dudík Ecography 31 (2), 161-175, 2008 | 4321 | 2008 |

A statistical explanation of MaxEnt for ecologists J Elith, SJ Phillips, T Hastie, M Dudík, YE Chee, CJ Yates Diversity and distributions 17 (1), 43-57, 2011 | 3551 | 2011 |

A maximum entropy approach to species distribution modeling SJ Phillips, M Dudík, RE Schapire Proceedings of the twenty-first international conference on Machine learning, 83, 2004 | 1908 | 2004 |

Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data SJ Phillips, M Dudík, J Elith, CH Graham, A Lehmann, J Leathwick, ... Ecological applications 19 (1), 181-197, 2009 | 1598 | 2009 |

A reliable effective terascale linear learning system A Agarwal, O Chapelle, M Dudik, J Langford Arxiv preprint arXiv:1110.4198, 2011 | 320 | 2011 |

Opening the black box: An open‐source release of Maxent SJ Phillips, RP Anderson, M Dudík, RE Schapire, ME Blair Ecography 40 (7), 887-893, 2017 | 303 | 2017 |

Doubly robust policy evaluation and learning M Dudik, J Langford, L Li ICML 2011, 2011 | 235 | 2011 |

Performance guarantees for regularized maximum entropy density estimation M Dudik, SJ Phillips, RE Schapire International Conference on Computational Learning Theory, 472-486, 2004 | 208 | 2004 |

Maximum entropy density estimation with generalized regularization and an application to species distribution modeling M Dudık, SJ Phillips, RE Schapire Journal of Machine Learning Research 8, 1217-1260, 2007 | 191 | 2007 |

Correcting sample selection bias in maximum entropy density estimation M Dudık, RE Schapire, SJ Phillips Advances in neural information processing systems 17, 323-330, 2005 | 181 | 2005 |

Efficient Optimal Learning for Contextual Bandits M Dudik, D Hsu, S Kale, N Karampatziakis, J Langford, L Reyzin, T Zhang UAI 2011, 2011 | 174 | 2011 |

Maxent software for modeling species niches and distributions v. 3.4. 1 SJ Phillips, M Dudík, RE Schapire URL: http://biodiversityinformatics. amnh. org/open_source/maxent, 2017 | 137* | 2017 |

A reductions approach to fair classification A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach arXiv preprint arXiv:1803.02453, 2018 | 129 | 2018 |

Lifted coordinate descent for learning with trace-norm regularization M Dudík, Z Harchaoui, J Malick AISTATS 2012, 2012 | 108 | 2012 |

Maxent software for species distribution modeling SJ Phillips, M Dudík, RE Schapire Á/< w ww. cs. princeton. edu/schapire/maxent, 2005 | 101* | 2005 |

Large-scale image classification with trace-norm regularization Z Harchaoui, M Douze, M Paulin, M Dudik, J Malick CVPR 2012, 2012 | 100 | 2012 |

Maximum entropy distribution estimation with generalized regularization M Dudík, RE Schapire International Conference on Computational Learning Theory, 123-138, 2006 | 64 | 2006 |

Doubly robust policy evaluation and optimization M Dudík, D Erhan, J Langford, L Li Statistical Science 29 (4), 485-511, 2014 | 61 | 2014 |

Performance guarantees for regularized maximum entropy density estimation M Dudık, SJ Phillips, RE Schapire Proceedings of the 17th annual Conference on Learning Theory,(COLT 2004 …, 2004 | 55 | 2004 |