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All publications by Hal Daume
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Learning to Search Better than Your Teacher
Kai-wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daume and John Langford
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Imitation Learning by Coaching
He He, Jason Eisner and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Jason Eisner and Hal Daume
Advances in Neural Information Processing Systems 25, 2012


Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos, Piyush Rai, Jacques Wainer and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Abhishek Kumar, Alexandru Niculescu-mizil, Koray Kavukcuoglu and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Protocols for Learning Classifiers on Distributed Data
Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 24, 2011


Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 24, 2011


Beam Search based MAP Estimates for the Indian Buffet Process
Piyush Rai and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Co-training Approach for Multi-view Spectral Clustering
Abhishek Kumar and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Generative Kernels for Exponential Families
Arvind Agarwal and Hal Daume
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Co-regularization Based Semi-supervised Domain Adaptation
Abhishek Kumar, Avishek Saha and Hal Daume
Advances in Neural Information Processing Systems 23, 2010


Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal, Samuel Gerber and Hal Daume
Advances in Neural Information Processing Systems 23, 2010


Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai and Hal Daume
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Unsupervised search-based structured prediction
Hal Daume
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 22, 2009


Structure compilation: trading structure for features
Percy Liang, Dan Klein and Hal Daume
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The Infinite Hierarchical Factor Regression Model
Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 21, 2008


Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Daniel J. Hsu and Hal Daume
Advances in Neural Information Processing Systems 20, 2007


Fast search for Dirichlet process mixture models
Hal Daume
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Learning as search optimization: approximate large margin methods for structured prediction
Daniel Marcu and Hal Daume
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Daniel Marcu and Hal Daume
Journal of Machine Learning Research, 2005