Monika Henzinger, Bay-Wei Chang, Brian Milch, and Sergey Brin (2005). "Query-Free News Search". World Wide Web: Internet and Web Information Systems 8(2):101-126. [Abstract]
Daphne Koller and Brian Milch (2003). "Multi-Agent Influence Diagrams for Representing and Solving Games". Games and Economic Behavior 45(1): 181-221. [Abstract]. Extended version of the IJCAI 2001 paper below. Various versions have also been presented at the 2001 AAAI Spring Symposium on Game-Theoretic and Decision-Theoretic Agents, and at the 8th Conference on Theoretical Aspects of Rationality and Knowledge (TARK 2001).
Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong, and Andrey Kolobov (2007). "BLOG: Probabilistic Models with Unknown Objects". In Lise Getoor and Ben Taskar, eds. Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA. [Abstract]
Luke S. Zettlemoyer, Brian Milch, and Leslie Pack Kaelbling (2009). "Multi-Agent Filtering with Infinitely Nested Beliefs". In Neural Information Processing Systems 21 (NIPS 2008): 1905-1912. [Abstract].
Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, and Leslie Pack Kaelbling (2008). "Lifted Probabilistic Inference with Counting Formulas". Proc. 23rd AAAI Conference on Artificial Intelligence: 1062-1068. [Abstract].
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, and Leslie Pack Kaelbling (2007). "Learning Probabilistic Relational Dynamics for Multiple Tasks". Proc. 23rd Conference on Uncertainty in Artificial Intelligence (UAI): 83-92. [Abstract].
Brian Milch and Stuart Russell (2006). "General-Purpose MCMC Inference over Relational Structures". Proc. 22nd Conference on Uncertainty in Artificial Intelligence (UAI): 349-358. [Abstract].
Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong, and Andrey Kolobov (2005). "BLOG: Probabilistic Models with Unknown Objects". Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI): 1352-1359. [Abstract]
Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong, and Andrey Kolobov (2005). "Approximate Inference for Infinite Contingent Bayesian Networks". 10th International Workshop on Artificial Intelligence and Statistics (AISTATS). [Abstract]
Monika Henzinger, Bay-Wei Chang, Brian Milch, and Sergey Brin (2003). "Query-Free News Search". Proc. 12th International World Wide Web Conference. [Abstract]
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser (2003). "Identity Uncertainty and Citation Matching". Advances in Neural Information Processing Systems 15 (NIPS 2002). Cambridge, MA: MIT Press, pages 1401-1408. [Abstract]
Alex Franz and Brian Milch (2002). "Searching the Web by Voice". Proc. 19th International Conference on Computational Linguistics (COLING): 1213-1217. [Abstract]
Daphne Koller and Brian Milch (2001). "Multi-Agent Influence Diagrams for Representing and Solving Games". Proc. 17th International Joint Conference on Artificial Intelligence (IJCAI): 1027-1034. [Abstract]
Brian Milch and Daphne Koller (2000). "Probabilistic Models for Agents' Beliefs and Decisions". Proc. 16th Conference on Uncertainty in Artificial Intelligence (UAI): 389-396. [Abstract]. Runner-up for Best Student Paper award.
Avi Pfeffer, Daphne Koller, Brian Milch, and Ken T. Takusagawa (1999). "SPOOK: A System for Probabilistic Object-Oriented Knowledge". Proc. 15th Conference on Uncertainty in Artificial Intelligence (UAI): 541-550. [Abstract]
Brian Milch (2006). Probabilistic Models with Unknown Objects. Ph.D. Thesis, Computer Science Division, University of California, Berkeley, December 2006. [Abstract].
Brian Milch and Daphne Koller (2008). "Ignorable Information in Multi-Agent Scenarios". Technical report MIT-CSAIL-TR-2008-029, Massachusetts Institute of Technology, Cambridge, MA. [Abstract]
David McAllester, Brian Milch, and Noah D. Goodman (2008). "Random-World Semantics and Syntactic Independence for Expressive Languages". Technical report MIT-CSAIL-TR-2008-025, Massachusetts Institute of Technology, Cambridge, MA. [Abstract]
Brian Milch (2008). "Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning". Proc. 1st Conference on Artificial General Intelligence, Memphis, TN, March 2008. [Abstract]
Kristian Kersting, Brian Milch, Luke S. Zettlemoyer, Michael Haimes, and Leslie Pack Kaelbling (2007). "Reasoning about Large Populations with Lifted Probabilistic Inference" (extended abstract). NIPS 2007 Workshop on Statistical Network Models, Vancouver, BC. [Short abstract] [Poster]
Brian Milch and Stuart Russell (2007). "First-Order Probabilistic Languages: Into the Unknown". In Stephen Muggleton, Ramon Otero, and Alireza Tamaddoni-Nezhad, eds. Inductive Logic Programming: 16th International Conference (ILP-2006). Lecture Notes in AI 4455. Berlin: Springer, pages 10-24. Written version of invited talk. [Abstract].
Brian Milch, Bhaskara Marthi, and Stuart Russell (2004). "BLOG: Relational Modeling with Unknown Objects". ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields. [Abstract]
Bhaskara Marthi, Brian Milch, and Stuart Russell (2003). "First-Order Probabilistic Models for Information Extraction". IJCAI 2003 Workshop on Learning Statistical Models from Relational Data. [Abstract]