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Ben Taskar

36 papers · 2004–2015 · 12 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (24) 🌟 Keyword Trendsetter Combo (4) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (66) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (36) πŸ”₯ 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

Jennifer Gillenwater (7) Kuzman Ganchev (6) Dan Klein (6) Alex Kulesza (6) David Weiss (4) Raja Hafiz Affandi (3) Simon Lacoste-Julien (3) João Graça (3) Percy Liang (3) Ben Sapp (2)

Research topics

Statistics (1)

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