Pedro M. Domingos

Publication Activity (10 Years)

Years Active: 1994-2019
Publications (10 Years): 16

Top Venues

CoRR

AAAI Workshop: Statistical Relational Artificial Intelligence

AAAI

Commun. ACM

Publications

Pedro M. Domingos, Daniel Lowd
Unifying logical and statistical AI with Markov logic. Commun. ACM 62 (7) (2019)
Abram L. Friesen, Pedro M. Domingos
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing. NeurIPS (2018)
Abram L. Friesen, Pedro M. Domingos
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem. ICLR (Poster) (2018)
Pedro M. Domingos
Machine Learning for Data Management: Problems and Solutions. SIGMOD Conference (2018)
Robert Gens, Pedro M. Domingos
Compositional Kernel Machines. ICLR (Workshop) (2017)
Abram L. Friesen, Pedro M. Domingos
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem. CoRR (2017)
Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos
On the Latent Variable Interpretation in Sum-Product Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (10) (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR (2017)
Abram L. Friesen, Pedro M. Domingos
Recursive Decomposition for Nonconvex Optimization. CoRR (2016)
Vasant Dhar, Pedro M. Domingos
: A Conversation with Vasant Dhar. Big Data 4 (1) (2016)
Vibhav Gogate, Pedro M. Domingos
Probabilistic theorem proving. Commun. ACM 59 (7) (2016)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. LICS (2016)
Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos
On the Latent Variable Interpretation in Sum-Product Networks. CoRR (2016)
Aniruddh Nath, Pedro M. Domingos
Learning Tractable Probabilistic Models for Fault Localization. AAAI (2016)
Abram L. Friesen, Pedro M. Domingos
The Sum-Product Theorem: A Foundation for Learning Tractable Models. CoRR (2016)
Abram L. Friesen, Pedro M. Domingos
The Sum-Product Theorem: A Foundation for Learning Tractable Models. ICML (2016)
Aniruddh Nath, Pedro M. Domingos
Learning Relational Sum-Product Networks. AAAI (2015)
Abram L. Friesen, Pedro M. Domingos
Recursive Decomposition for Nonconvex Optimization - IJCAI-15 Distinguished Paper. IJCAI (2015)
Aniruddh Nath, Pedro M. Domingos
Learning Tractable Probabilistic Models for Fault Localization. CoRR (2015)
Mathias Niepert, Pedro M. Domingos
Learning and Inference in Tractable Probabilistic Knowledge Bases. UAI (2015)
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos
On Theoretical Properties of Sum-Product Networks. AISTATS (2015)
Mathias Niepert, Pedro M. Domingos
Exchangeable Variable Models. CoRR (2014)
Mathias Niepert, Pedro M. Domingos
Exchangeable Variable Models. ICML (2014)
Robert Gens, Pedro M. Domingos
Deep Symmetry Networks. NIPS (2014)
Parag Singla, Aniruddh Nath, Pedro M. Domingos
Approximate Lifting Techniques for Belief Propagation. AAAI (2014)
Mathias Niepert, Pedro M. Domingos
Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Aniruddh Nath, Pedro M. Domingos
Automated Debugging with Tractable Probabilistic Programming. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Aniruddh Nath, Pedro M. Domingos
Learning Tractable Statistical Relational Models. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Vibhav Gogate, Pedro M. Domingos
Structured Message Passing. CoRR (2013)
Robert Gens, Pedro M. Domingos
Learning the Structure of Sum-Product Networks. ICML (3) (2013)
William Austin Webb, Pedro M. Domingos
Tractable Probabilistic Knowledge Bases with Existence Uncertainty. AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Vibhav Gogate, Pedro M. Domingos
Structured Message Passing. UAI (2013)
Daniel Lowd, Pedro M. Domingos
Learning Arithmetic Circuits CoRR (2012)
Robert Gens, Pedro M. Domingos
Discriminative Learning of Sum-Product Networks. NIPS (2012)
Vibhav Gogate, Pedro M. Domingos
Formula-Based Probabilistic Inference CoRR (2012)
Pedro M. Domingos, William Austin Webb
A Tractable First-Order Probabilistic Logic. AAAI (2012)
Vibhav Gogate, Pedro M. Domingos
Approximation by Quantization CoRR (2012)
Vibhav Gogate, Pedro M. Domingos
Probabilistic Theorem Proving CoRR (2012)
Chloé Kiddon, Pedro M. Domingos
Knowledge Extraction and Joint Inference Using Tractable Markov Logic. AKBC-WEKEX@NAACL-HLT (2012)
Pedro M. Domingos
A few useful things to know about machine learning. Commun. ACM 55 (10) (2012)
Parag Singla, Pedro M. Domingos
Markov Logic in Infinite Domains CoRR (2012)
Hoifung Poon, Pedro M. Domingos
Sum-Product Networks: A New Deep Architecture CoRR (2012)
Pedro M. Domingos, Sumit K. Sanghai, Daniel S. Weld
Relational Dynamic Bayesian Networks CoRR (2011)
Jesse Davis, Pedro M. Domingos
Deep Transfer: A Markov Logic Approach. AI Mag. 32 (1) (2011)
Chloé Kiddon, Pedro M. Domingos
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models. AAAI (2011)
Hoifung Poon, Pedro M. Domingos
Sum-product networks: A new deep architecture. ICCV Workshops (2011)
Vibhav Gogate, Pedro M. Domingos
Approximation by Quantization. UAI (2011)
Vibhav Gogate, Pedro M. Domingos
Probabilistic Theorem Proving. UAI (2011)
Hoifung Poon, Pedro M. Domingos
Sum-Product Networks: A New Deep Architecture. UAI (2011)
James Blythe, Jerry R. Hobbs, Pedro M. Domingos, Rohit J. Kate, Raymond J. Mooney
Implementing Weighted Abduction in Markov Logic. IWCS (2011)
Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Mach. Learn. 83 (2) (2011)
Aniruddh Nath, Pedro M. Domingos
Efficient Belief Propagation for Utility Maximization and Repeated Inference. AAAI (2010)
Stanley Kok, Pedro M. Domingos
Using Structural Motifs for Learning Markov Logic Networks. Statistical Relational Artificial Intelligence (2010)
Hoifung Poon, Pedro M. Domingos
Unsupervised Ontology Induction from Text. ACL (2010)
Daniel Lowd, Pedro M. Domingos
Approximate Inference by Compilation to Arithmetic Circuits. NIPS (2010)
Hoifung Poon, Pedro M. Domingos
Machine Reading: A "Killer App" for Statistical Relational AI. Statistical Relational Artificial Intelligence (2010)
Aniruddh Nath, Pedro M. Domingos
Efficient Lifting for Online Probabilistic Inference. AAAI (2010)
Jesse Davis, Pedro M. Domingos
Bottom-Up Learning of Markov Network Structure. ICML (2010)
Stanley Kok, Pedro M. Domingos
Learning Markov Logic Networks Using Structural Motifs. ICML (2010)
Vibhav Gogate, Pedro M. Domingos
Exploiting Logical Structure in Lifted Probabilistic Inference. Statistical Relational Artificial Intelligence (2010)
Vibhav Gogate, Pedro M. Domingos
Formula-Based Probabilistic Inference. UAI (2010)
Aniruddh Nath, Pedro M. Domingos
Efficient Lifting for Online Probabilistic Inference. Statistical Relational Artificial Intelligence (2010)
Parag Singla, Aniruddh Nath, Pedro M. Domingos
Approximate Lifted Belief Propagation. Statistical Relational Artificial Intelligence (2010)
Vibhav Gogate, William Austin Webb, Pedro M. Domingos
Learning Efficient Markov Networks. NIPS (2010)
Chloé Kiddon, Pedro M. Domingos
Leveraging Ontologies for Lifted Probabilistic Inference and Learning. Statistical Relational Artificial Intelligence (2010)
Hoifung Poon, Pedro M. Domingos
Unsupervised Semantic Parsing. EMNLP (2009)
Jesse Davis, Pedro M. Domingos
Deep transfer via second-order Markov logic. ICML (2009)
Stanley Kok, Pedro M. Domingos
Learning Markov logic network structure via hypergraph lifting. ICML (2009)
Thomas G. Dietterich, Pedro M. Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli
Structured machine learning: the next ten years. Mach. Learn. 73 (1) (2008)
Stanley Kok, Pedro M. Domingos
Extracting Semantic Networks from Text Via Relational Clustering. ECML/PKDD (1) (2008)
Hoifung Poon, Pedro M. Domingos, Marc Sumner
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC. AAAI (2008)
Parag Singla, Pedro M. Domingos
Lifted First-Order Belief Propagation. AAAI (2008)
Pedro M. Domingos
Markov logic: a unifying language for knowledge and information management. CIKM (2008)
Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR (2008)
Jue Wang, Pedro M. Domingos
Hybrid Markov Logic Networks. AAAI (2008)
Daniel Lowd, Pedro M. Domingos
Learning Arithmetic Circuits. UAI (2008)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) (2008)
Hoifung Poon, Pedro M. Domingos
Joint Unsupervised Coreference Resolution with Markov Logic. EMNLP (2008)
Stanley Kok, Pedro M. Domingos
Statistical predicate invention. ICML (2007)
Pedro M. Domingos
Toward knowledge-rich data mining. Data Min. Knowl. Discov. 15 (1) (2007)
Daniel Lowd, Pedro M. Domingos
Efficient Weight Learning for Markov Logic Networks. PKDD (2007)
Pedro M. Domingos, Parag Singla
Markov Logic in Infinite Domains. Probabilistic, Logical and Relational Learning - A Further Synthesis (2007)
Hoifung Poon, Pedro M. Domingos
Joint Inference in Information Extraction. AAAI (2007)
Daniel Lowd, Pedro M. Domingos
Recursive Random Fields. IJCAI (2007)
Parag Singla, Pedro M. Domingos
Markov Logic in Infinite Domains. UAI (2007)
Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. AAAI (2006)
Pedro M. Domingos
Learning, Logic, and Probability: A Unified View. EKAW (2006)
Pedro M. Domingos
Learning, Logic, and Probability: A Unified View. IBERAMIA-SBIA (2006)
Parag Singla, Pedro M. Domingos
Entity Resolution with Markov Logic. ICDM (2006)
Parag Singla, Pedro M. Domingos
Memory-Efficient Inference in Relational Domains. AAAI (2006)
Matthew Richardson, Pedro M. Domingos
Markov logic networks. Mach. Learn. 62 (1-2) (2006)
Hoifung Poon, Pedro M. Domingos
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies. AAAI (2006)
Pedro M. Domingos
Learning, Logic, and Probability: A Unified View. PRICAI (2006)
Steffen Staab, Pedro M. Domingos, Peter Mika, Jennifer Golbeck, Li Ding, Timothy W. Finin, Anupam Joshi, Andrzej Nowak, Robin R. Vallacher
Social Networks Applied. IEEE Intell. Syst. 20 (1) (2005)
Parag Singla, Pedro M. Domingos
Object Identification with Attribute-Mediated Dependences. PKDD (2005)
Pedro M. Domingos, Fernando M. Silva, Horácio C. Neto
An Efficient and Scalable Architecture for Neural Networks with Backpropagation Learning. FPL (2005)
Timothy Chklovski, Pedro M. Domingos, Henry Lieberman, Rada Mihalcea, Push Singh
Organizing Committee. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors (2005)
Parag Singla, Pedro M. Domingos
Discriminative Training of Markov Logic Networks. AAAI (2005)
Stanley Kok, Pedro M. Domingos
Learning the structure of Markov logic networks. ICML (2005)
Daniel Lowd, Pedro M. Domingos
Naive Bayes models for probability estimation. ICML (2005)

Pedro M. Domingos.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pedro M. Domingos