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