Ben Taskar
33 papers · 2004–2015 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ben Taskar?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Kuzman Ganchev, Alex Kulesza, Jennifer Gillenwater
14 papers
· 2007–2014
· NeurIPS, ACL, EMNLP
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Expectation-Maximization for Learning Determinantal Point Processes
NeurIPS 2014
Learning the Parameters of Determinantal Point Process Kernels
ICML 2014
Approximate Inference in Continuous Determinantal Processes
NeurIPS 2013
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
CoNLL 2013
Nyström Approximation for Large-Scale Determinantal Processes
AISTATS 2013
Discovering Diverse and Salient Threads in Document Collections
EMNLP 2012
Near-Optimal MAP Inference for Determinantal Point Processes
NeurIPS 2012
Wiki-ly Supervised Part-of-Speech Tagging
EMNLP 2012
Sparsity in Dependency Grammar Induction
ACL 2010
Structured Determinantal Point Processes
NeurIPS 2010
Dependency Grammar Induction via Bitext Projection Constraints
ACL 2009
Posterior vs Parameter Sparsity in Latent Variable Models
NeurIPS 2009
Better Alignments = Better Translations?
ACL 2008
Expectation Maximization and Posterior Constraints
NeurIPS 2007
5 papers whose co-authors appear nowhere else under this name
Efficient Second-Order Gradient Boosting for Conditional Random Fields
AISTATS 2015
Learning Adaptive Value of Information for Structured Prediction
NeurIPS 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
ICML 2013
Semi-Supervised Learning with Adversarially Missing Label Information
NeurIPS 2010
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
AISTATS 2005