Publications:

• A Survey of First-Order Probabilistic Models
  R. de Salvo Braz and E. Amir and D. Roth
  Innovations in Bayesian Networks - 2008
  
• Global Inference for Entity and Relation Identification via a Linear Programming Formulation
  D. Roth and W. Yih
  Introduction to Statistical Relational Learning - 2007
  
• Lifted First-Order Probabilistic Inference
  R. de Salvo Braz and E. Amir and D. Roth
  Introduction to Statistical Relational Learning - 2007
  
• Audio-Visual Affect Recognition
  Z. Zeng and J. Tu and M. Liu and T. Huang and B. Pianfetti and D. Roth and S. Levinson
  IEEE Transactions on Multimedia - 2007
  
• MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
  R. de Salvo Braz and E. Amir and D. Roth
  AAAI - 2006
  
• An Inference Model for Semantic Entailment in Natural Language
  R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
  Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, Revised Selected Papers - 2006
  
• Integer Linear Programming Inference for Conditional Random Fields
  D. Roth and W. Yih
  ICML - 2005
  
• Learning and Inference over Constrained Output
  V. Punyakanok and D. Roth and W. Yih and D. Zimak
  IJCAI - 2005
  
• Lifted First-order Probabilistic Inference
  R. de Salvo Braz and E. Amir and D. Roth
  IJCAI - 2005
  
• An Inference Model for Semantic Entailment in Natural Language
  R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
  AAAI - 2005
  
• Knowledge Representation for Semantic Entailment and Question-Answering
  R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
  IJCAI Workshop on Knowledge and Reasoning for Question Answering - 2005
  
• An Inference Model for Semantic Entailment in Natural Language
  R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
  IJCAI - 2005
  
• Learnability of Bipartite Ranking Functions
  S. Agarwal and D. Roth
  COLT - 2005
  
• A Uniform Convergence Bound for the Area Under the ROC Curve
  S. Agarwal and S. Har-Peled and D. Roth
  AISTATS - 2005
  
• A Large Deviation Bound for the Area Under the ROC Curve
  S. Agarwal and T. Graepel and R. Herbrich and D. Roth
  NIPS - 2005
  
• Generalization Bounds for the Area Under the ROC Curve
  S. Agarwal and T. Graepel and R. Herbrich and S. Har-Peled and D. Roth
  Journal of Machine Learning Research - 2005
  
• Guest Editors Introduction: Machine Learning in Speech and Language Technologies
  P. Fung and D. Roth
  Machine Learning - 2005
  
• Learning based Programming
  D. Roth
  Innovations in Machine Learning: Theory and Applications - 2005
  
• Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification
  X. Li and D. Roth
  CoNLL - 2005
  
• Learning Automation Policies for Pervasive Computing Environments
  B. Ziebart and A. Dey and R. Campbell and D. Roth
  ICAC - 2005
  
• A Linear Programming Formulation for Global Inference in Natural Language Tasks
  D. Roth and W. Yih
  CoNLL - 2004
  
• Semantic Role Labeling via Integer Linear Programming Inference
  V. Punyakanok and D. Roth and W. Yih and D. Zimak
  COLING - 2004
  
• Bimodal HCI-related Affect Recognition
  Z. Zeng and J. Tu and M. Liu and T. Zhang and N. Rizzolo and Z. Zhang and T. Huang and D. Roth and S. Levinson
  ICMI - 2004
  
• Mining Online Deal Forums for Hot Deals
  W. Yih and P. Chang and W. Kim
  WI - 2004
  
• Constraint Classification for Multiclass Classification and Ranking
  S. Har-Peled and D. Roth and D. Zimak
  NIPS - 2003
  
• On Kernel Methods for Relational Learning
  C. Cumby and D. Roth
  ICML - 2003
  
• Margin Distribution and Learning Algorithms
  A. Garg and D. Roth
  ICML - 2003
  
• Phrasenet: towards context sensitive lexical semantics
  X. Li and D. Roth and Y. Tu
  CoNLL - 2003
  
• Feature Extraction Languages for Propositionalized Relational Learning
  C. Cumby and D. Roth
  IJCAI Workshop on Learning Statistical Models from Relational Data - 2003
  
• Functional subsumption in Description Logics
  R. de Salvo Braz and D. Roth
  NIPS Workshop on Feature Extraction and Selection - 2003
  
• On generalization bounds, projection profile, and margin distribution
  A. Garg and S. Har-Peled and D. Roth
  ICML - 2002
  
• Constraint Classification: a new approach to Multiclass Classification
  S. Har-Peled and D. Roth and D. Zimak
  ALT - 2002
  
• Understanding Probabilistic Classifiers
  A. Garg and D. Roth
  ECML - 2001
  
• Learning Coherent Concepts
  A. Garg and D. Roth
  ALT - 2001