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Brian Milch
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2020 – today
- 2021
- [c15]Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang:
Clustering for Private Interest-based Advertising. KDD 2021: 2802-2810
2010 – 2019
- 2013
- [i6]Brian Milch, Daphne Koller:
Probabilistic Models for Agents' Beliefs and Decisions. CoRR abs/1301.3876 (2013) - [i5]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation. CoRR abs/1301.6733 (2013) - 2012
- [i4]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. CoRR abs/1206.5249 (2012) - [i3]Brian Milch, Stuart Russell:
General-Purpose MCMC Inference over Relational Structures. CoRR abs/1206.6849 (2012)
2000 – 2009
- 2008
- [j3]James A. Hendler
, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth
, Luis von Ahn:
AI's 10 to Watch. IEEE Intell. Syst. 23(3): 9-19 (2008) - [c14]Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling:
Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068 - [c13]Brian Milch:
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning. AGI 2008: 248-255 - [c12]Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling:
Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS 2008: 1905-1912 - 2007
- [c11]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. UAI 2007: 83-92 - [i2]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [c10]Brian Milch, Stuart Russell:
First-Order Probabilistic Languages: Into the Unknown. ILP 2006: 10-24 - [c9]Brian Milch, Stuart Russell:
General-Purpose MCMC Inference over Relational Structures. UAI 2006 - 2005
- [j2]Monika Henzinger, Bay-Wei Chang, Brian Milch, Sergey Brin:
Query-Free News Search. World Wide Web 8(2): 101-126 (2005) - [c8]Brian Milch, Bhaskara Marthi, David A. Sontag, Stuart Russell, Daniel L. Ong, Andrey Kolobov:
Approximate Inference for Infinite Contingent Bayesian Networks. AISTATS 2005: 238-245 - [c7]Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov:
BLOG: Probabilistic Models with Unknown Objects. IJCAI 2005: 1352-1359 - [i1]Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov:
BLOG: Probabilistic Models with Unknown Objects. Probabilistic, Logical and Relational Learning 2005 - 2003
- [j1]Daphne Koller, Brian Milch:
Multi-agent influence diagrams for representing and solving games. Games Econ. Behav. 45(1): 181-221 (2003) - [c6]Monika Henzinger, Bay-Wei Chang, Brian Milch, Sergey Brin:
Query-free news search. WWW 2003: 1-10 - 2002
- [c5]Alexander Franz, Brian Milch:
Searching the Web by Voice. COLING 2002 - [c4]Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser:
Identity Uncertainty and Citation Matching. NIPS 2002: 1401-1408 - 2001
- [c3]Daphne Koller, Brian Milch:
Multi-Agent Influence Diagrams for Representing and Solving Games. IJCAI 2001: 1027-1036 - 2000
- [c2]Brian Milch, Daphne Koller:
Probabilistic Models for Agent's Beliefs and Decisions. UAI 2000: 389-396
1990 – 1999
- 1999
- [c1]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550
Coauthor Index
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