Alex Kulesza

@inproceedings{gillenwater2018maximizing,
  title = 	{Maximizing Induced Cardinality Under a Determinantal
                 Point Process},
  author = 	{Jennifer Gillenwater and Alex Kulesza and Zelda
                 Mariet and Sergei Vassilvitskii},
  booktitle = 	{Advances in Neural Information Processing Systems
		 31},
  year = 	{2018},
}

@inproceedings{jiang2018completing,
  title = 	{Completing State Representations using Spectral
                 Learning},
  author = 	{Nan Jiang and Alex Kulesza and Satinder Singh},
  booktitle = 	{Advances in Neural Information Processing Systems
		 31},
  year = 	{2018},
}

@inproceedings{amin2018private,
  title = 	{Private Covariance Estimation via Iterative
                 Eigenvector Sampling},
  author = 	{Kareem Amin and Travis Dick and Alex Kulesza and
                 Andr{\'e}s Munoz Medina and Sergei Vassilvitskii},
  booktitle = 	{NeurIPS Workshop on Privacy Preserving Machine
                 Learning},
  year = 	{2018},
}

@inproceedings{jiang2016improving,
  title = 	{Improving Predictive State Representations via
		 Gradient Descent},
  author = 	{Nan Jiang and Alex Kulesza and Satinder Singh},
  booktitle = 	{Proceedings of the 30th AAAI Conference on
		 Artificial Intelligence},
  year = 	{2016},
}

@inproceedings{abernethy2015representation,
  title = 	{Representation Results and Algorithms for Deep
		 Feedforward Networks},
  author = 	{Jacob Abernethy and Alex Kulesza and Matus
		 Telgarsky},
  booktitle = 	{NIPS Workshop on Non-Convex Optimization for Machine
		 Learning},
  year = 	{2015},
}

@inproceedings{jiang2015abstraction,
  title = 	{Abstraction Selection in Model-Based Reinforcement
		 Learning},
  author = 	{Nan Jiang and Alex Kulesza and Satinder Singh},
  booktitle = 	{Proceedings of the 32nd International Conference on
		 Machine Learning},
  year = 	{2015},
}

@inproceedings{jiang2015dependence,
  title = 	{The Dependence of Effective Planning Horizon on
		 Model Accuracy},
  author = 	{Nan Jiang and Alex Kulesza and Satinder Singh and
		 Richard Lewis},
  booktitle = 	{Proceedings of the 14th International Conference on
		 Autonomous Agents and Multiagent Systems},
  year = 	{2015},
}

@inproceedings{kulesza2015lowrank,
  title = 	{Low-Rank Spectral Learning with Weighted Loss
		 Functions},
  author = 	{Alex Kulesza and Nan Jiang and Satinder Singh},
  booktitle = 	{Proceedings of the 18th International Conference on
		 Artificial Intelligence and Statistics},
  year = 	{2015},
}

@inproceedings{oselio2015information,
  title = 	{Information Extraction from Large Multi-Layer Social
		 Networks},
  author = 	{Brandon Oselio and Alex Kulesza and Alfred Hero},
  booktitle = 	{IEEE International Conference on Acoustics, Speech
		 and Signal Processing},
  year = 	{2015},
}

@inproceedings{kulesza2015spectral,
  title = 	{Spectral Learning of Predictive State
		 Representations with Insufficient Statistics},
  author = 	{Alex Kulesza and Nan Jiang and Satinder Singh},
  booktitle = 	{Proceedings of the 29th AAAI Conference on
		 Artificial Intelligence},
  year = 	{2015},
}

@article{rising2015efficient,
  title = 	{An Efficient Algorithm for the Symmetric Principal
		 Minor Assignment Problem},
  author = 	{Justin Rising and Alex Kulesza and Ben Taskar},
  journal = 	{Linear Algebra and its Applications},
  volume = 	{473},
  pages = 	{126--144},
  month = 	{May},
  year = 	{2015},
}

@inproceedings{gillenwater2014expectation,
  title = 	{Expectation-Maximization for Learning Determinantal
		 Point Processes},
  author = 	{Jennifer Gillenwater and Alex Kulesza and Emily Fox
		 and Ben Taskar},
  booktitle = 	{Advances in Neural Information Processing Systems
		 27},
  year = 	{2014},
}

@inproceedings{hong2014repository,
  title = 	{A Repository of State of the Art and Competitive
		 Baseline Summaries for Generic News Summarization},
  author = 	{Kai Hong and John M. Conroy and Benoit Favre and
		 Alex Kulesza and Hui Lin and Ani Nenkova},
  booktitle = 	{Language Resources and Evaluation Conference 2014},
  year = 	{2014},
}

@inproceedings{kulesza2014lowrank,
  title = 	{Low-Rank Spectral Learning},
  author = 	{Alex Kulesza and Raj Rao Nadakuditi and Satinder
		 Singh},
  booktitle = 	{Proceedings of the 17th Conference on Artificial
		 Intelligence and Statistics},
  year = 	{2014},
}

@article{hsiao2014social2,
  title = 	{Social Collaborative Retrieval},
  author = 	{Ko-Jen Hsiao and Alex Kulesza and Alfred O. Hero},
  journal = 	{Journal of Selected Topics in Signal Processing},
  volume = 	{8},
  number = 	{4},
  pages = 	{680--689},
  month = 	{Aug},
  year = 	{2014},
}

@article{oselio2014multilayer,
  title = 	{Multi-Layer Graph Analysis for Dynamic Social
		 Networks},
  author = 	{Brandon Oselio and Alex Kulesza and Alfred O. Hero},
  journal = 	{Journal of Selected Topics in Signal Processing},
  volume = 	{8},
  number = 	{4},
  pages = 	{514--523},
  month = 	{Aug},
  year = 	{2014},
}

@inproceedings{hsiao2014social,
  title = 	{Social Collaborative Retrieval},
  author = 	{Ko-Jen Hsiao and Alex Kulesza and Alfred O. Hero},
  booktitle = 	{Proceedings of the 7th International ACM Conference
		 on Web Search and Data Mining},
  year = 	{2014},
}

@article{crammer2013adaptive,
  title = 	{Adaptive Regularization of Weight Vectors},
  author = 	{Koby Crammer and Alex Kulesza and Mark Dredze},
  journal = 	{Machine Learning},
  volume = 	{91},
  number = 	{2},
  pages = 	{155--187},
  year = 	{2013},
  publisher = 	{Springer},
}

@inproceedings{affandi2013nystrom,
  title = 	{{N}ystr{\"o}m Approximation for Large-Scale
		 Determinantal Processes},
  author = 	{Raja Hafiz Affandi and Alex Kulesza and Emily Fox
		 and Ben Taskar},
  booktitle = 	{Proceedings of the 16th International Conference on
		 Artificial Intelligence and Statistics},
  year = 	{2013},
}

@article{kulesza2012determinantal,
  title = 	{Determinantal Point Processes for Machine Learning},
  author = 	{Alex Kulesza and Ben Taskar},
  journal = 	{Foundations and Trends in Machine Learning},
  volume = 	{5},
  number = 	{2--3},
  year = 	{2012},
  publisher = 	{Now Publishers},
}

@inproceedings{gillenwater2012near,
  title = 	{Near-Optimal {MAP} Inference for Determinantal Point
		 Processes},
  author = 	{Jennifer Gillenwater and Alex Kulesza and Ben
		 Taskar},
  booktitle = 	{Advances in Neural Information Processing Systems
		 25},
  year = 	{2012},
}

@phdthesis{kulesza2012learning,
  title = 	{Learning with Determinantal Point Processes},
  author = 	{Alex Kulesza},
  school = 	{University of Pennsylvania},
  year = 	{2012},
}

@inproceedings{affandi2012markov,
  title = 	{Markov determinantal point processes},
  author = 	{Raja Hafiz Affandi and Alex Kulesza and Emily Fox},
  booktitle = 	{Proceedings of the 28th Conference on Uncertainty in
		 Artificial Intelligence},
  year = 	{2012},
}

@inproceedings{gillenwater2012discovering,
  title = 	{Discovering Diverse and Salient Threads in Document
		 Collections},
  author = 	{Jennifer Gillenwater and Alex Kulesza and Ben
		 Taskar},
  booktitle = 	{Proceedings of the 2012 Conference on Empirical
		 Methods in Natural Language Processing},
  year = 	{2012},
}

@inproceedings{crammer2012new,
  title = 	{New $H^\infty$ Bounds for the Recursive Least
		 Squares Algorithm Exploiting Input Structure},
  author = 	{Koby Crammer and Alex Kulesza and Mark Dredze},
  booktitle = 	{Proceedings of the 2012 IEEE International
		 Conference on Acoustics, Speech, and Signal
		 Processing},
  year = 	{2012},
}

@inproceedings{kulesza2011learning,
  title = 	{Learning Determinantal Point Processes},
  author = 	{Alex Kulesza and Ben Taskar},
  booktitle = 	{Proceedings of the 27th Conference on Uncertainty in
		 Artificial Intelligence},
  year = 	{2011},
}

@inproceedings{kulesza2011kdpps,
  title = 	{{k-DPP}s: Fixed-Size Determinantal Point Processes},
  author = 	{Alex Kulesza and Ben Taskar},
  booktitle = 	{Proceedings of the 28th International Conference on
		 Machine Learning},
  year = 	{2011},
}

@inproceedings{kulesza2011structured,
  title = 	{Structured Determinantal Point Processes},
  author = 	{Alex Kulesza and Ben Taskar},
  booktitle = 	{Advances in Neural Information Processing Systems
		 23},
  year = 	{2011},
}

@article{kearns2010empirical,
  title = 	{Empirical Limitations on High-Frequency Trading
		 Profitability},
  author = 	{Michael Kearns and Alex Kulesza and Yuriy Nevmyvaka},
  journal = 	{The Journal of Trading},
  volume = 	{5},
  number = 	{4},
  pages = 	{50--62},
  year = 	{2010},
}

@inproceedings{ma2010exploiting,
  title = 	{Exploiting Feature Covariance in High-Dimensional
		 Online Learning},
  author = 	{Justin Ma and Alex Kulesza and Mark Dredze and Koby
		 Crammer and Lawrence K. Saul and Fernando Pereira},
  booktitle = 	{Proceedings of the 13th International Conference on
		 Artificial Intelligence and Statistics},
  year = 	{2010},
}

@article{ben2010theory,
  title = 	{A Theory of Learning from Different Domains},
  author = 	{Shai Ben-David and John Blitzer and Koby Crammer and
		 Alex Kulesza and Fernando Pereira and Jennifer
		 Wortman Vaughan},
  journal = 	{Machine Learning},
  volume = 	{79},
  number = 	{1},
  pages = 	{151--175},
  year = 	{2010},
  publisher = 	{Springer},
}

@article{dredze2010multi,
  title = 	{Multi-Domain Learning by Confidence-Weighted
		 Parameter Combination},
  author = 	{Mark Dredze and Alex Kulesza and Koby Crammer},
  journal = 	{Machine Learning},
  volume = 	{79},
  number = 	{1},
  pages = 	{123--149},
  year = 	{2010},
  publisher = 	{Springer},
}

@inproceedings{crammer2010adaptive,
  title = 	{Adaptive Regularization of Weight Vectors},
  author = 	{Koby Crammer and Alex Kulesza and Mark Dredze},
  booktitle = 	{Advances in Neural Information Processing Systems
		 22},
  year = 	{2010},
}

@unpublished{kulesza2009approximate,
  title = 	{Approximate Learning for Structured Prediction
		 Problems},
  author = 	{Alex Kulesza},
  month = 	{November},
  year = 	{2009},
  note = 	{University of Pennsylvania WPE-II report},
}

@inproceedings{crammer2009multi,
  title = 	{Multi-Class Confidence Weighted Algorithms},
  author = 	{Koby Crammer and Mark Dredze and Alex Kulesza},
  booktitle = 	{Proceedings of the 2009 Conference on Empirical
		 Methods in Natural Language Processing},
  year = 	{2009},
}

@inproceedings{kulesza2008structured,
  title = 	{Structured Learning with Approximate Inference},
  author = 	{Alex Kulesza and Fernando Pereira},
  booktitle = 	{Advances in Neural Information Processing Systems
		 20},
  year = 	{2008},
}

@inproceedings{blitzer2008learning,
  title = 	{Learning Bounds for Domain Adaptation},
  author = 	{John Blitzer and Koby Crammer and Alex Kulesza and
		 Fernando Pereira and Jennifer Wortman},
  booktitle = 	{Advances in Neural Information Processing Systems
		 20},
  year = 	{2008},
}

@inproceedings{ganchev2007empirical,
  title = 	{Empirical Price Modeling for Sponsored Search},
  author = 	{Kuzman Ganchev and Alex Kulesza and Jinsong Tan and
		 Ryan Gabbard and Qian Liu and Michael Kearns},
  booktitle = 	{Proceedings of the 3rd International Conference on
		 Internet and Network Economics},
  year = 	{2007},
}

@inproceedings{cavallo5tbbl,
  title = 	{{TBBL}: a Tree-Based Bidding Language for Iterative
		 Combinatorial Exchanges},
  author = 	{Ruggiero Cavallo and David C. Parkes and Adam
		 I. Juda and Adam Kirsch and Alex Kulesza and
		 S{\'e}bastien Lahaie and Benjamin Lubin and Loizos
		 Michael and Jeffrey Shneidman},
  booktitle = 	{Multidisciplinary IJCAI-05 Workshop on Advances in
		 Preference Handling},
  year = 	{2005},
}

@inproceedings{kulesza2004learning,
  title = 	{A Learning Approach to Improving Sentence-Level {MT}
		 Evaluation},
  author = 	{Alex Kulesza and Stuart M. Shieber},
  booktitle = 	{Proceedings of the 10th International Conference on
		 Theoretical and Methodological Issues in Machine
		 Translation},
  year = 	{2004},
}

@inproceedings{blatz2004confidence,
  title = 	{Confidence Estimation for Machine Translation},
  author = 	{John Blatz and Erin Fitzgerald and George Foster and
		 Simona Gandrabur and Cyril Goutte and Alex Kulesza
		 and Alberto Sanchis and Nicola Ueffing},
  booktitle = 	{Proceedings of the 20th International Conference on
		 Computational Linguistics},
  year = 	{2004},
}