Ben Taskar

Publication Activity (10 Years)

Years Active: 2004-2017
Publications (10 Years): 2

Top Topics

Efficient Learning

Probabilistic Model

Point Processes

Top Venues

Publications

Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
Summarizing Unconstrained Videos Using Salient Montages. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS (2015)
Qiao Zhang, Shyamnath Gollakota, Ben Taskar, Raj P. N. Rao
Non-intrusive tongue machine interface. CHI (2014)
Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
Salient Montages from Unconstrained Videos. ECCV (7) (2014)
Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed
Understanding Objects in Detail with Fine-Grained Attributes. CVPR (2014)
Edward A. Lee, Björn Hartmann, John Kubiatowicz, Tajana Simunic Rosing, John Wawrzynek, David Wessel, Jan M. Rabaey, Kris Pister, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, David T. Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Ben Taskar, Roozbeh Jafari, Douglas L. Jones, Vijay Kumar, Rahul Mangharam, George J. Pappas, Richard M. Murray, Anthony Rowe
The Swarm at the Edge of the Cloud. IEEE Des. Test 31 (3) (2014)
Ben London, Bert Huang, Ben Taskar, Lise Getoor
PAC-Bayesian Collective Stability. AISTATS (2014)
João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Ben Taskar
Controlling Complexity in Part-of-Speech Induction. CoRR (2014)
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Ben Taskar
Learning the Parameters of Determinantal Point Process Kernels. CoRR (2014)
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar
Expectation-Maximization for Learning Determinantal Point Processes. CoRR (2014)
Ben Taskar, Pieter Abbeel, Daphne Koller
Discriminative Probabilistic Models for Relational Data CoRR (2013)
David J. Weiss, Ben Taskar
Learning Adaptive Value of Information for Structured Prediction. NIPS (2013)
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
Approximate Inference in Continuous Determinantal Processes. NIPS (2013)
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
Approximate Inference in Continuous Determinantal Point Processes. CoRR (2013)
Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification. ICML (1) (2013)
David J. Weiss, Ben Taskar
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning. CVPR (2013)
David J. Weiss, Benjamin Sapp, Ben Taskar
Dynamic Structured Model Selection. ICCV (2013)
Ofir Pele, Ben Taskar
The Tangent Earth Mover's Distance. GSI (2013)
Benjamin Sapp, Ben Taskar
MODEC: Multimodal Decomposable Models for Human Pose Estimation. CVPR (2013)
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox, Ben Taskar
Nystrom Approximation for Large-Scale Determinantal Processes. AISTATS (2013)
Luheng He, Jennifer Gillenwater, Ben Taskar
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction. CoNLL (2013)
Ben London, Bert Huang, Ben Taskar, Lise Getoor
Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) (2013)
Shen Li, João Graça, Ben Taskar
Wiki-ly Supervised Part-of-Speech Tagging. EMNLP-CoNLL (2012)
David S. Rosenberg, Dan Klein, Ben Taskar
Mixture-of-Parents Maximum Entropy Markov Models CoRR (2012)
Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos
Generative-Discriminative Basis Learning for Medical Imaging. IEEE Trans. Medical Imaging 31 (1) (2012)
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Near-Optimal MAP Inference for Determinantal Point Processes. NIPS (2012)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs CoRR (2012)
Alex Kulesza, Ben Taskar
Learning Determinantal Point Processes CoRR (2012)
Alex Kulesza, Ben Taskar
Determinantal Point Processes for Machine Learning. Found. Trends Mach. Learn. 5 (2-3) (2012)
Alex Kulesza, Ben Taskar
Determinantal point processes for machine learning CoRR (2012)
Alexander Toshev, Ben Taskar, Kostas Daniilidis
Shape-Based Object Detection via Boundary Structure Segmentation. Int. J. Comput. Vis. 99 (2) (2012)
David J. Weiss, Benjamin Sapp, Ben Taskar
Structured Prediction Cascades CoRR (2012)
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Discovering Diverse and Salient Threads in Document Collections. EMNLP-CoNLL (2012)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Posterior Sparsity in Unsupervised Dependency Parsing. J. Mach. Learn. Res. 12 (2011)
Alex Kulesza, Ben Taskar
k-DPPs: Fixed-Size Determinantal Point Processes. ICML (2011)
Nematollah Batmanghelich, Aoyan Dong, Ben Taskar, Christos Davatzikos
Regularized Tensor Factorization for Multi-Modality Medical Image Classification. MICCAI (3) (2011)
Timothée Cour, Benjamin Sapp, Ben Taskar
Learning from Partial Labels. J. Mach. Learn. Res. 12 (2011)
Benjamin Sapp, David J. Weiss, Ben Taskar
Parsing human motion with stretchable models. CVPR (2011)
Alex Kulesza, Ben Taskar
Learning Determinantal Point Processes. UAI (2011)
Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI (2011)
Umar Syed, Ben Taskar
Semi-Supervised Learning with Adversarially Missing Label Information. NIPS (2010)
Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar
Talking pictures: Temporal grouping and dialog-supervised person recognition. CVPR (2010)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Sparsity in Dependency Grammar Induction. ACL (2) (2010)
Guillaume Obozinski, Ben Taskar, Michael I. Jordan
Joint covariate selection and joint subspace selection for multiple classification problems. Stat. Comput. 20 (2) (2010)
Alexander Toshev, Ben Taskar, Kostas Daniilidis
Object detection via boundary structure segmentation. CVPR (2010)
João Graça, Kuzman Ganchev, Ben Taskar
Learning Tractable Word Alignment Models with Complex Constraints. Comput. Linguistics 36 (3) (2010)
Alexander Toshev, Philippos Mordohai, Ben Taskar
Detecting and parsing architecture at city scale from range data. CVPR (2010)
Benjamin Sapp, Alexander Toshev, Ben Taskar
Cascaded Models for Articulated Pose Estimation. ECCV (2) (2010)
Nematollah Batmanghelich, Ali Gooya, Stathis Kanterakis, Ben Taskar, Christos Davatzikos
Application of trace-norm and low-rank matrix decomposition for computational anatomy. CVPR Workshops (2010)
David J. Weiss, Benjamin Sapp, Ben Taskar
Sidestepping Intractable Inference with Structured Ensemble Cascades. NIPS (2010)
Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar
Posterior Regularization for Structured Latent Variable Models. J. Mach. Learn. Res. 11 (2010)
Benjamin Sapp, Chris Jordan, Ben Taskar
Adaptive pose priors for pictorial structures. CVPR (2010)
Alex Kulesza, Ben Taskar
Structured Determinantal Point Processes. NIPS (2010)
João Graça, Kuzman Ganchev, Ben Taskar
PostCAT - Posterior Constrained Alignment Toolkit. Prague Bull. Math. Linguistics 91 (2009)
Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS (2009)
Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos
A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification. IPMI (2009)
Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
Dependency Grammar Induction via Bitext Projection Constraints. ACL/IJCNLP (2009)
João Graça, Kuzman Ganchev, Ben Taskar, Fernando C. N. Pereira
Posterior vs Parameter Sparsity in Latent Variable Models. NIPS (2009)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs. UAI (2008)
Timothée Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar
Movie/Script: Alignment and Parsing of Video and Text Transcription. ECCV (4) (2008)
Paul Vernaza, Ben Taskar, Daniel D. Lee
Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA (2008)
Kuzman Ganchev, João Graça, Ben Taskar
Better Alignments = Better Translations? ACL (2008)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs. UAI (2008)
João Graça, Kuzman Ganchev, Ben Taskar
Expectation Maximization and Posterior Constraints. NIPS (2007)
David S. Rosenberg, Dan Klein, Ben Taskar
Mixture-of-Parents Maximum Entropy Markov Models. UAI (2007)
Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning
Max-Margin Parsing. EMNLP (2004)