Ben Taskar
36 papers · 2004–2015 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π Renaissance Researcher (6) π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(24)
π
Keyword Trendsetter Combo
(4)
π±
Topic Pioneer
π
Keyword Champion
ποΈ
Keyword Collector
(66)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
π
Century Club
(36)
π₯
Unstoppable
(12)
Conferences
NIPS (9)
ACL (4)
EMNLP (4)
AISTATS (3)
CONLL (3)
CVPR (3)
ICML (3)
JMLR (2)
NAACL (2)
COLING (1)
ICCV (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
structured prediction
(7)
determinantal point process
(6)
approximate inference
(3)
determinantal point processes
(3)
human pose estimation
(3)
convex optimization
(3)
generalization bound
(3)
collective stability
(2)
graphical model
(2)
kernel learning
(2)
variational inference
(2)
probabilistic modeling
(2)
learning theory
(2)
kernel approximation
(2)
expectation maximization
(2)
kernel matrix
(2)
computer vision
(1)
feature extraction
(1)
adversarial learning
(1)
image segmentation
(1)
Papers
Efficient Second-Order Gradient Boosting for Conditional Random Fields
AISTATS 2015
Expectation-Maximization for Learning Determinantal Point Processes
NIPS 2014
Learning the Parameters of Determinantal Point Process Kernels
ICML 2014
Understanding Objects in Detail with Fine-Grained Attributes
CVPR 2014
PAC-Bayesian Collective Stability
AISTATS 2014
Dynamic Structured Model Selection
ICCV 2013
Approximate Inference in Continuous Determinantal Processes
NIPS 2013
Learning Adaptive Value of Information for Structured Prediction
NIPS 2013
NystrΓΆm Approximation for Large-Scale Determinantal Processes
AISTATS 2013
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
CONLL 2013
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning
CVPR 2013
MODEC: Multimodal Decomposable Models for Human Pose Estimation
CVPR 2013
Collective Stability in Structured Prediction: Generalization from One Example
ICML 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
ICML 2013
Wiki-ly Supervised Part-of-Speech Tagging
EMNLP 2012
Discovering Diverse and Salient Threads in Document Collections
EMNLP 2012
Discovering Diverse and Salient Threads in Document Collections
CONLL 2012
Wiki-ly Supervised Part-of-Speech Tagging
CONLL 2012
Near-Optimal MAP Inference for Determinantal Point Processes
NIPS 2012
Learning from Partial Labels
JMLR 2011
Structured Determinantal Point Processes
NIPS 2010
Semi-Supervised Learning with Adversarially Missing Label Information
NIPS 2010
Sparsity in Dependency Grammar Induction
ACL 2010
Sidestepping Intractable Inference with Structured Ensemble Cascades
NIPS 2010
Dependency Grammar Induction via Bitext Projection Constraints
ACL 2009
Posterior vs Parameter Sparsity in Latent Variable Models
NIPS 2009
Dependency Grammar Induction via Bitext Projection Constraints
IJCNLP 2009
Better Alignments = Better Translations?
ACL 2008
Expectation Maximization and Posterior Constraints
NIPS 2007
Structured Prediction, Dual Extragradient and Bregman Projections
JMLR 2006
Alignment by Agreement
NAACL 2006
Word Alignment via Quadratic Assignment
NAACL 2006
An End-to-End Discriminative Approach to Machine Translation
COLING 2006
An End-to-End Discriminative Approach to Machine Translation
ACL 2006
A Discriminative Matching Approach to Word Alignment
EMNLP 2005
Max-Margin Parsing
EMNLP 2004