Taskar, Ben

42 publications

AISTATS 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin

NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes Jennifer A Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar

ICML 2014 Learning the Parameters of Determinantal Point Process Kernels Raja Hafiz Affandi, Emily Fox, Ryan Adams, Ben Taskar

AISTATS 2014 PAC-Bayesian Collective Stability Ben London, Bert Huang, Ben Taskar, Lise Getoor

ECCV 2014 Salient Montages from Unconstrained Videos Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz

CVPR 2014 Understanding Objects in Detail with Fine-Grained Attributes Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed

NeurIPS 2013 Approximate Inference in Continuous Determinantal Processes Raja Hafiz Affandi, Emily B. Fox, Ben Taskar

ICML 2013 Collective Stability in Structured Prediction: Generalization from One Example Ben London, Bert Huang, Ben Taskar, Lise Getoor

ICCV 2013 Dynamic Structured Model Selection David Weiss, Benjamin Sapp, Ben Taskar

NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction David J Weiss, Ben Taskar

CVPR 2013 MODEC: Multimodal Decomposable Models for Human Pose Estimation Ben Sapp, Ben Taskar

AISTATS 2013 Nystrom Approximation for Large-Scale Determinantal Processes Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox, Ben Taskar

CVPR 2013 SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning David Weiss, Ben Taskar

ICML 2013 The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman

FnTML 2012 Determinantal Point Processes for Machine Learning Alex Kulesza, Ben Taskar

NeurIPS 2012 Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater, Alex Kulesza, Ben Taskar

ICML 2011 K-DPPs: Fixed-Size Determinantal Point Processes Alex Kulesza, Ben Taskar

UAI 2011 Learning Determinantal Point Processes Alex Kulesza, Ben Taskar

JMLR 2011 Learning from Partial Labels Timothee Cour, Ben Sapp, Ben Taskar

CVPR 2011 Parsing Human Motion with Stretchable Models Benjamin Sapp, David J. Weiss, Ben Taskar

JMLR 2011 Posterior Sparsity in Unsupervised Dependency Parsing Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar

CVPR 2010 Adaptive Pose Priors for Pictorial Structures Benjamin Sapp, Chris Jordan, Ben Taskar

CVPRW 2010 Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy Nematollah Batmanghelich, Ali Gooya, Stathis Kanterakis, Ben Taskar, Christos Davatzikos

ECCV 2010 Cascaded Models for Articulated Pose Estimation Benjamin Sapp, Alexander Toshev, Ben Taskar

CVPR 2010 Detecting and Parsing Architecture at City Scale from Range Data Alexander Toshev, Philippos Mordohai, Ben Taskar

CVPR 2010 Object Detection via Boundary Structure Segmentation Alexander Toshev, Ben Taskar, Kostas Daniilidis

JMLR 2010 Posterior Regularization for Structured Latent Variable Models Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar

NeurIPS 2010 Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed, Ben Taskar

NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades David Weiss, Benjamin Sapp, Ben Taskar

NeurIPS 2010 Structured Determinantal Point Processes Alex Kulesza, Ben Taskar

CVPR 2010 Talking Pictures: Temporal Grouping and Dialog-Supervised Person Recognition Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar

AISTATS 2009 Learning Sparse Markov Network Structure via Ensemble-of-Trees Models Yuanqing Lin, Shenghuo Zhu, Daniel Lee, Ben Taskar

NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models Kuzman Ganchev, Ben Taskar, Fernando Pereira, João Gama

ECCV 2008 Movie/Script: Alignment and Parsing of Video and Text Transcription Timothée Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar

UAI 2008 Multi-View Learning over Structured and Non-Identical Outputs Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar

NeurIPS 2007 Expectation Maximization and Posterior Constraints Kuzman Ganchev, Ben Taskar, João Gama

UAI 2007 Mixture-of-Parents Maximum Entropy Markov Models David S. Rosenberg, Dan Klein, Ben Taskar

JMLR 2006 Structured Prediction, Dual Extragradient and Bregman Projections Ben Taskar, Simon Lacoste-Julien, Michael I. Jordan

NeurIPS 2005 Structured Prediction via the Extragradient Method Ben Taskar, Simon Lacoste-Julien, Michael I. Jordan

NeurIPS 2004 Exponentiated Gradient Algorithms for Large-Margin Structured Classification Peter L. Bartlett, Michael Collins, Ben Taskar, David A. McAllester

NeurIPS 2003 Link Prediction in Relational Data Ben Taskar, Ming-fai Wong, Pieter Abbeel, Daphne Koller

NeurIPS 2003 Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller