- Link Prediction in Relational Data Ben Taskar Ming-Fai Wong Pieter Abbeel Daphne Koller
- Discriminative Probabilistic Models for Relational Data Computer Science Dept.
- Probabilistic Models of Text and Link Structure for Hypertext Classification Lise Getoor
- Learning Associative Markov Networks Ben Taskar btaskar@cs.stanford.edu
- Parsing Human Motion with Stretchable Models Benjamin Sapp David Weiss Ben Taskar
- Semi-Supervised Learning with Adversarially Missing Label Information
- Structured Prediction Cascades David Weiss and Ben Taskar
- Sidestepping Intractable Inference with Structured Ensemble Cascades
- 6 Relational Markov Networks Ben Taskar, Pieter Abbeel, Ming-Fai Wong, and Daphne Koller
- Mixture-of-Parents Maximum Entropy Markov Models David S. Rosenberg
- School of Engineering & Applied Science | The Wharton School Penn Research in Machine Learning
- Semi-Supervised Learning with Adversarially Missing Label Information --Supplement
- Dependency Grammar Induction via Bitext Projection Constraints Kuzman Ganchev and Jennifer Gillenwater and Ben Taskar
- Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields
- Expectation Maximization and Posterior Constraints Jo~ao V. Graca
- 2 Graphical Models in a Nutshell Daphne Koller, Nir Friedman, Lise Getoor and Ben Taskar
- 5 Probabilistic Relational Models Lise Getoor, Nir Friedman, Daphne Koller, Avi Pfeffer and Ben Taskar
- Alignment by Agreement Percy Liang
- Structured Prediction, Dual Extragradient and Bregman Projections
- A Discriminative Matching Approach to Word Alignment Ben Taskar Simon Lacoste-Julien Dan Klein
- LEARNING STRUCTURED PREDICTION MODELS: A LARGE MARGIN APPROACH
- Exponentiated Gradient Algorithms for Large-margin Structured Classification
- Max-Margin Parsing Computer Science Dept.
- Max-Margin Markov Networks Ben Taskar Carlos Guestrin Daphne Koller
- Learning on the Test Data: Leveraging "Unseen" Features Ben Taskar BTASKAR@CS.STANFORD.EDU
- Probabilistic Classification and Clustering in Relational Data Computer Science Dept.
- k-DPPs: Fixed-Size Determinantal Point Processes Alex Kulesza kulesza@cis.upenn.edu
- Multi-View Learning over Structured and Non-Identical Outputs Kuzman Ganchev
- An End-to-End Discriminative Approach to Machine Translation Percy Liang Alexandre Bouchard-C^ote Dan Klein Ben Taskar
- A Second-order message passing Assume we have a factor tree with variable nodes 1, 2, . . . , T and factor nodes F, where each factor
- updated slides: http://sideinfo.wikkii.com Rich Prior Knowledge
- Journal of Artificial Intelligence Research 41 (2011) 1-24 Submitted 3/11; published 7/11 Controlling Complexity in Part-of-Speech Induction
- Generative-Discriminative Basis Learning for Medical Imaging
