Ben Taskar

According to our database1, Ben Taskar authored at least 91 papers between 2001 and 2017.

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Bibliography

2017
Summarizing Unconstrained Videos Using Salient Montages.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
The Swarm at the Edge of the Cloud.
IEEE Design & Test, 2014

Controlling Complexity in Part-of-Speech Induction.
CoRR, 2014

Expectation-Maximization for Learning Determinantal Point Processes.
CoRR, 2014

Learning the Parameters of Determinantal Point Process Kernels.
CoRR, 2014

Expectation-Maximization for Learning Determinantal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning the Parameters of Determinantal Point Process Kernels.
Proceedings of the 31th International Conference on Machine Learning, 2014

Salient Montages from Unconstrained Videos.
Proceedings of the Computer Vision - ECCV 2014, 2014

Understanding Objects in Detail with Fine-Grained Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Non-intrusive tongue machine interface.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

PAC-Bayesian Collective Stability.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Discriminative Probabilistic Models for Relational Data
CoRR, 2013

Approximate Inference in Continuous Determinantal Point Processes.
CoRR, 2013

Learning Adaptive Value of Information for Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Approximate Inference in Continuous Determinantal Processes.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Collective Stability in Structured Prediction: Generalization from One Example.
Proceedings of the 30th International Conference on Machine Learning, 2013

Dynamic Structured Model Selection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

The Tangent Earth Mover's Distance.
Proceedings of the Geometric Science of Information - First International Conference, 2013

SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

MODEC: Multimodal Decomposable Models for Human Pose Estimation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Nystrom Approximation for Large-Scale Determinantal Processes.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Generative-Discriminative Basis Learning for Medical Imaging.
IEEE Trans. Med. Imaging, 2012

Shape-Based Object Detection via Boundary Structure Segmentation.
International Journal of Computer Vision, 2012

Determinantal Point Processes for Machine Learning.
Foundations and Trends in Machine Learning, 2012

Structured Prediction Cascades
CoRR, 2012

Determinantal point processes for machine learning
CoRR, 2012

Mixture-of-Parents Maximum Entropy Markov Models
CoRR, 2012

Multi-View Learning over Structured and Non-Identical Outputs
CoRR, 2012

Learning Determinantal Point Processes
CoRR, 2012

Near-Optimal MAP Inference for Determinantal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Wiki-ly Supervised Part-of-Speech Tagging.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Discovering Diverse and Salient Threads in Document Collections.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Posterior Sparsity in Unsupervised Dependency Parsing.
Journal of Machine Learning Research, 2011

Learning from Partial Labels.
Journal of Machine Learning Research, 2011

Controlling Complexity in Part-of-Speech Induction.
J. Artif. Intell. Res., 2011

Learning Determinantal Point Processes.
Proceedings of the UAI 2011, 2011

Regularized Tensor Factorization for Multi-Modality Medical Image Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Disease classification and prediction via semi-supervised dimensionality reduction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

k-DPPs: Fixed-Size Determinantal Point Processes.
Proceedings of the 28th International Conference on Machine Learning, 2011

Parsing human motion with stretchable models.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Joint covariate selection and joint subspace selection for multiple classification problems.
Statistics and Computing, 2010

Structured Prediction Cascades.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Posterior Regularization for Structured Latent Variable Models.
Journal of Machine Learning Research, 2010

Learning Tractable Word Alignment Models with Complex Constraints.
Computational Linguistics, 2010

Sidestepping Intractable Inference with Structured Ensemble Cascades.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Semi-Supervised Learning with Adversarially Missing Label Information.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Structured Determinantal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Cascaded Models for Articulated Pose Estimation.
Proceedings of the Computer Vision, 2010

Object detection via boundary structure segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Detecting and parsing architecture at city scale from range data.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Adaptive pose priors for pictorial structures.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Talking pictures: Temporal grouping and dialog-supervised person recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Application of trace-norm and low-rank matrix decomposition for computational anatomy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Sparsity in Dependency Grammar Induction.
Proceedings of the ACL 2010, 2010

2009
PostCAT - Posterior Constrained Alignment Toolkit.
Prague Bull. Math. Linguistics, 2009

Learning Sparse Markov Network Structure via Ensemble-of-Trees Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Posterior vs Parameter Sparsity in Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification.
Proceedings of the Information Processing in Medical Imaging, 2009

Learning from ambiguously labeled images.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Dependency Grammar Induction via Bitext Projection Constraints.
Proceedings of the ACL 2009, 2009

2008
Multi-View Learning over Structured and Non-Identical Outputs.
Proceedings of the UAI 2008, 2008

Multi-View Learning over Structured and Non-Identical Outputs.
Proceedings of the UAI 2008, 2008

Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Movie/Script: Alignment and Parsing of Video and Text Transcription.
Proceedings of the Computer Vision, 2008

Better Alignments = Better Translations?
Proceedings of the ACL 2008, 2008

2007
Mixture-of-Parents Maximum Entropy Markov Models.
Proceedings of the UAI 2007, 2007

Expectation Maximization and Posterior Constraints.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A permutation-augmented sampler for DP mixture models.
Proceedings of the Machine Learning, 2007

2006
Structured Prediction, Dual Extragradient and Bregman Projections.
Journal of Machine Learning Research, 2006

Alignment by Agreement.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Word Alignment via Quadratic Assignment.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

An End-to-End Discriminative Approach to Machine Translation.
Proceedings of the ACL 2006, 2006

2005
Structured Prediction via the Extragradient Method.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Discriminative Matching Approach to Word Alignment.
Proceedings of the HLT/EMNLP 2005, 2005

Learning structured prediction models: a large margin approach.
Proceedings of the Machine Learning, 2005

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Exponentiated Gradient Algorithms for Large-margin Structured Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning associative Markov networks.
Proceedings of the Machine Learning, 2004

Max-Margin Parsing.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

2003
Link Prediction in Relational Data.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Max-Margin Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning on the Test Data: Leveraging Unseen Features.
Proceedings of the Machine Learning, 2003

2002
Learning Probabilistic Models of Link Structure.
Journal of Machine Learning Research, 2002

Discriminative Probabilistic Models for Relational Data.
Proceedings of the UAI '02, 2002

2001
Selectivity Estimation using Probabilistic Models.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Rich probabilistic models for gene expression.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Probabilistic Classification and Clustering in Relational Data.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Learning Probabilistic Models of Relational Structure.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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