Daumé, Hal

16 publications

ICML 2018 Hierarchical Imitation and Reinforcement Learning Hoang Le, Nan Jiang, Alekh Agarwal, Miroslav Dudik, Yisong Yue, Hal Daumé

ICML 2017 Active Learning for Cost-Sensitive Classification Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé, John Langford

ICML 2017 Logarithmic Time One-Against-Some Hal Daumé, Nikos Karampatziakis, John Langford, Paul Mineiro

ICML 2016 Opponent Modeling in Deep Reinforcement Learning He He, Jordan Boyd-Graber, Kevin Kwok, Hal Daumé

ICML 2015 Learning to Search Better than Your Teacher Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé, John Langford

NeurIPS 2012 Imitation Learning by Coaching He He, Jason Eisner, Hal Daume

NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed Jiarong Jiang, Adam Teichert, Jason Eisner, Hal Daume

NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression Piyush Rai, Abhishek Kumar, Hal Daume

NeurIPS 2011 Co-Regularized Multi-View Spectral Clustering Abhishek Kumar, Piyush Rai, Hal Daume

AISTATS 2011 Generative Kernels for Exponential Families Arvind Agarwal, Hal Daumé

NeurIPS 2011 Message-Passing for Approximate MAP Inference with Latent Variables Jiarong Jiang, Piyush Rai, Hal Daume

NeurIPS 2010 Co-Regularization Based Semi-Supervised Domain Adaptation Abhishek Kumar, Avishek Saha, Hal Daume

AISTATS 2010 Infinite Predictor Subspace Models for Multitask Learning Piyush Rai, Hal Daumé

NeurIPS 2010 Learning Multiple Tasks Using Manifold Regularization Arvind Agarwal, Samuel Gerber, Hal Daume

NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA Piyush Rai, Hal Daume

NeurIPS 2008 The Infinite Hierarchical Factor Regression Model Piyush Rai, Hal Daume