Machine Learning

2013

Learning the Structure of Sum-Product Networks

R. Gens, P. DomingosInternational Conference on Machine LearningOmnipress, 2013.
Downloads: PDF 

Multipath Sparse Coding Using Hierarchical Matching Pursuit

L. Bo, X. Ren, D. FoxIEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Downloads: PDF BIB 

RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

K. Lai, L. Bo, X. Ren, D. FoxConsumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
Downloads: LINK bibtex 

Structured sparse learning of multiple Gaussian graphical model

K. Mohan, M. Chung, S. Han, D. Witten, S.I. Lee, M. FazelAdvances in Neural Information Processing Systems (NIPS), 2013.

2012

Unsupervised pattern discovery in human chromatin structure through genomic segmentation

M.M. Hoffman, O.J. Buske, J. Wang, Z. Weng, J.A. Bilmes, W.S. NobleNature Methods 9:5, 2012.

Unsupervised Feature Learning for RGB-D Based Object Recognition

L. Bo, X. Ren, D. FoxISER, 2012.
Downloads: PDF bibtex 

Faster Mass Spectrometry-based Protein Inference: Junction Trees are More Efficient than Sampling and Marginalization by Enumeration.

O. Serang, W.S. NobleIEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM, 2012.

Epigenetic priors for identifying active transcription factor binding sites.

G. Cuellar-Partida, F.A. Buske, R.C. McLeay, T. Whitington, W.S. Noble, T.L. BaileyBioinformatics (Oxford, England) 28:1, 2012.

Direct maximization of protein identifications from tandem mass spectra.

M. Spivak, J. Weston, D. Tomazela, M.J. MacCoss, W.S. NobleMolecular & cellular proteomics : MCP 11:2, 2012.

A unified multitask architecture for predicting local protein properties.

Y. Qi, M. Oja, J. Weston, W.S. NoblePloS one 7:3, 2012.

A Few Useful Things to Know about Machine Learning

P. DomingosCommunications of the ACM 55:10, 2012.

A Tractable First-Order Probabilistic Logic

P. Domingos, A. WebbTwenty-Sixth AAAI Conference on Artificial Intelligence, 2012.

Counting-MLNs: Learning Relational Structure for Decision Making

A. Nath, M. RichardsonAAAI Conference on Artificial Intelligence, 2012.

Detection-based Object Labeling in 3D Scenes

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2012.
Downloads: PDF bibtex video code 

Discriminative Learning of Sum-Product Networks

R. Gens, P. DomingosNeural Information Processing Systems, 2012.
Downloads: PDF 

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Y. Huang, A.L. Friesen, T.D. Hanks, M.N. Shadlen, R.P.N. RaoAdvances in Neural Information Processing Systems (NIPS), 2012.
Downloads: PDF bibtex 

Integrative annotation of chromatin elements from ENCODE data

M.M. Hoffman, J. Ernst, S.P. Wilder, A. Kundaje, R.S. Harris, M. Libbrecht, B. Giardine, P.M. Ellenbogen, J.A. Bilmes, E. Birney, R.C. Hardison, I. Dunham, M. Kellis, W.S. NobleNucleic Acids Research In Press, 2012.

Learning Multiple Hierarchical Relational Clusterings

A. Nath, P. DomingosICML-12 Workshop on Statistical Relational Learning, 2012.

ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks

S. Amershi, J. Fogarty, D.S. WeldProceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.

2011

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models

C. Kiddon, P. DomingosAAAI Conference on Artificial Intelligence, 2011.

Identifying Relations for Open Information Extraction

A. Fader, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2011.

Open Information Extraction: the Second Generation

O. Etzioni, A. Fader, J. Christensen, S. Soderland,  MausamInternational Joint Conference on Artificial Intelligence, 2011.

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. WeldProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: Source Code 

Inference Over the Web

S. SchoenmackersPHD Thesis, 2011.

Implementing Weighted Abduction in Markov Logic

J. Blythe, J. Hobbs, P. Domingos, R. Kate, R. MooneyInternational Conference on Computational Semantics, 2011.

Faster SEQUEST searching for peptide identification from tandem mass spectra.

B.J. Diament, W.S. NobleJournal of proteome research 10:9, 2011.

Approximation by Quantization

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

Probabilistic Theorem Proving

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

Sum-Product Networks: A New Deep Architecture

H. Poon, P. DomingosUncertainty in Artificial Intelligence, 2011.

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2011.
Downloads: PDF bibtex poster dataset 

A Scalable Tree-based Approach for Joint Object and Pose Recognition

K. Lai, L. Bo, X. Ren, D. FoxAAAI, 2011.
Downloads: PDF bibtex slides 

Depth Kernel Descriptors for Object Recognition

L. Bo, X. Ren, D. FoxIROS, 2011.
Downloads: PDF BIB Code 

Object Recognition with Hierarchical Kernel Descriptors

L. Bo, K. Lai, X. Ren, D. FoxCVPR, 2011.
Downloads: PDF bibtex 

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information

K. Lai, L. Bo, R. X., D. FoxICRA, 2011.
Downloads: PDF bibtex slides 

2010

A Latent Dirichlet Allocation method for Selectional Preferences

A. Ritter,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Approximate Lifted Belief Propagation

P. Singla, A. Nath, P. DomingosWorkshop on Statistical Relational AI, 2010.

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2010.

Efficient Belief Propagation for Utility Maximization and Repeated Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.

Efficient Lifting for Online Probabilistic Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.
Downloads: Dataset 

Exploiting Logical Structure in Lifted Probabilistic Inference

V. Gogate, P. DomingosWorkshop on Statistical Relational AI, 2010.

Extracting Sequences from the Web

A. Fader, S. Soderland, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Formula-Based Probabilistic Inference

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2010.

Learning 5000 Relational Extractors

R. Hoffmann, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Leveraging Ontologies for Lifted Probabilistic Inference and Learning

C. Kiddon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Machine Reading: A "Killer App" for Statistical Relational AI

H. Poon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Open Information Extraction using Wikipedia

F. Wu, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. EtzioniAAAI Conference on Artificial Intelligence, 2010.

Temporal Information Extraction

X. Ling, D. WeldAAAI Conference on Artificial Intelligence, 2010.
Downloads: Data Set 

Bottom-Up Learning of Markov Network Structure

J. Davis, P. DomingosInternational Conference on Machine Learning, 2010.

Learning Markov Logic Networks Using Structural Motifs

S. Kok, P. DomingosInternational Conference on Machine Learning, 2010.

Machine Reading at the University of Washington

H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon,  Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. SchoenmackersAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Semantic Role Labeling for Open Information Extraction

Mausam, S. Soderland, O. Etzioni, J. ChristensenAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Approximate Inference by Compilation to Arithmetic Circuits

D. Lowd, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

Learning Efficient Markov Networks

V. Gogate, W. Webb, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

Lifted Inference Seen from the Other Side: The Tractable Features

A. Jha, V. Gogate, A. Meliou, D. SuciuAnnual Conference on Neural Information Processing Systems, 2010.

Commonsense from the Web: Relation Properties

T. Lin,  Mausam, O. EtzioniAAAI Fall Symposium Series, 2010.

Identifying Functional Relations in Web Text

T. Lin,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2010.

Learning First-Order Horn Clauses from Web Text

S. Schoenmackers, J. Davis, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2010.

Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction

O. Etzioni, S. Soderland, D. DowneyArtificial Intelligence 174:11, 2010.

Twin Gaussian Processes for Structured Prediction

L. Bo, C. SminchisescuInternational Journal of Computer Vision, 2010.

Kernel Descriptors for Visual Recognition

L. Bo, X. Ren, D. FoxNIPS, 2010.
Downloads: PDF BIB Code 

2009

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search

J. Christensen,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2009.

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2009.

Lemmatic Machine Translation

S. Soderland,  Mausam, O. Etzioni, C. Lim, J. Pool, B. QinMachine Translation Summit, 2009.

Unsupervised Semantic Parsing

H. Poon, P. DomingosConference on Empirical Methods in Natural Language Processing, 2009.

A Language for Relational Decision Theory

A. Nath, P. DomingosInternational Workshop on Statistical Relational Learning, 2009.

Deep Transfer via Second-Order Markov Logic

J. Davis, P. DomingosInternational Conference on Machine Learning, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. WeldConference on Human Factors in Computing Systems, 2009.

Collective Modeling of Human Social Behavior

D. WyattAAAI Spring Symposium Series, 2009.

What Is This, Anyway: Automatic Hypernym Discovery

A. Ritter, S. Soderland, O. EtzioniAAAI Spring Symposium Series, 2009.

Conditional Neural Fields

J. Peng, L. Bo, J. XuAnnual Conference on Neural Information Processing Systems, 2009.

Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations

D. Wyatt, J. Bilmes, T. ChoudhuryAnnual Conference on Neural Information Processing Systems, 2009.

Efficient Match Kernels between Sets of Features for Visual Recognition

L. Bo, C. SminchisescuAnnual Conference on Neural Information Processing Systems, 2009.

Identifying Interesting Assertions from the Web

T. Lin, O. Etzioni, J. FogartyACM Conference on Information and Knowledge Management, 2009.

Learning Markov Logic Network Structure via Hypergraph Lifting

S. Kok, P. DomingosInternational Conference on Machine Learning, 2009.

Unsupervised Methods for Determining Object and Relation Synonyms on the Web

A. Yates, O. EtzioniJournal of Artificial Intelligence Research, 2009.

2008

Towards the Automated Social Analysis of Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, J. KittsInternational Conference on Ubiquitous Computing, 2008.

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC

H. Poon, P. Domingos, M. SumnerAAAI Conference on Artificial Intelligence, 2008.

Hybrid Markov Logic Networks

J. Wang, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

Information Extraction from Wikipedia: Moving Down the long Tail

F. Wu, R. Hoffmann, D. WeldKnowledge Discovery and Data Mining, 2008.

Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2008.

Lifted First-Order Belief Propagation

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

The Tradeoffs Between Open and Traditional Relation Extraction

M. Banko, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2008.

Automatically Refining the Wikipedia Infobox Ontology

F. Wu, D. WeldInternational World Wide Web Conference, 2008.

Open Information Extraction from the Web

O. Etzioni, S. Soderland, D. Weld, M. BankoCommunications of the ACM, 2008.

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations

A. Ritter, D. Downey, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2008.

Scaling Textual Inference to the Web

S. Schoenmackers, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2008.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic

P. Singla, H. Kautz, J. Luo, A. GallagherInternational Workshop on Semantic Learning and Applications in Multimedia, 2008.

Extracting Semantic Networks from Text via Relational Clustering

S. Kok, P. DomingosEuropean Conference on Machine Learning, 2008.

Learning Arithmetic Circuits

D. Lowd, P. DomingosUncertainty in Artificial Intelligence, 2008.

2007

Lexical Translation with Application to Image Search on the Web

O. Etzioni, K. Reiter, S. Soderland, M. SammerMachine Translation Summit, 2007.

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesInterspeech, 2007.

Autonomously Semantifying Wikipedia

F. Wu, D. WeldACM Conference on Information and Knowledge Management, 2007.

Sparse Information Extraction: Unsupervised Language Models to the Rescue

D. Downey, S. Schoenmackers, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2007.

Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort

D. Wyatt, T. Choudhury, H. KautzInternational Conference on Acoustic and Speech Signal Processing, 2007.

Unsupervised Resolution of Objects and Relations on the Web

A. Yates, O. EtzioniAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.

Joint Inference in Information Extraction

H. Poon, P. DomingosAAAI Spring Symposium Series, 2007.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Spring Symposium Series, 2007.

Creating Social Network Models from Sensor Data

D. Wyatt, T. Choudhury, J. BilmesAnnual Conference on Neural Information Processing Systems, 2007.

Strategies for Lifelong Knowledge Extraction from the Web

M. Banko, O. EtzioniInternational Conference on Knowledge Capture, 2007.

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations

D. Wyatt, T. Choudhury, J. Bilmes, H. KautzInternational Joint Conference on Artificial Intelligence, 2007.

Open Information Extraction from the Web

M. Banko, M. Cafarella, S. Soderland, M. Broadhead, O. EtzioniInternational Joint Conference on Artificial Intelligence, 2007.

Recursive Random Fields

D. Lowd, P. DomingosInternational Joint Conference on Artificial Intelligence, 2007.

Efficient Weight Learning for Markov Logic Networks

D. Lowd, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.

Markov Logic in Infinite Domains

P. Singla, P. DomingosUncertainty in Artificial Intelligence, 2007.

Statistical Predicate Invention

S. Kok, P. DomingosInternational Conference on Machine Learning, 2007.

Structured Machine Learning: Ten Problems for the Next Ten Years

P. DomingosInternational Conference on Inductive Logic Programming, 2007.

2006

Ambiguity Reduction for Machine Translation: Human-Computer Collaboration

M. Sammer, K. Reiter, S. Soderland, K. Kirchhoff, O. Etzionibiennial conference of the Association for Machine Translation in the Americas, 2006.

Entity Resolution with Markov Logic

P. Singla, P. DomingosIEEE International Conference on Data Mining, 2006.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Conference on Artificial Intelligence, 2006.

Markov Logic Networks

M. Richardson, P. DomingosMachine Learning Journal, 2006.

Memory-Efficient Inference in Relational Domains

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies

H. Poon, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Unifying Logical and Statistical AI

P. Domingos, S. Kok, H. Poon, M. Richardson, P. SinglaAAAI Conference on Artificial Intelligence, 2006.

2005

A Probabilistic Model of Redundancy in Information Extraction

D. Downey, O. Etzioni, S. SoderlandInternational Joint Conference on Artificial Intelligence, 2005.

Discriminative Training of Markov Logic Networks

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2005.

Learning the Structure of Markov Logic Networks

S. Kok, P. DomingosInternational Conference on Machine Learning, 2005.

Mining social networks for viral marketing

P. DomingosIEEE Intelligent Systems, 2005.

Object identification with attribute-mediated dependencies

P. Singla, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.

Naive Bayes Models for Probability Estimation

D. Lowd, P. DomingosInternational Conference on Machine Learning, 2005.

2004

iMAP: Discovering Complex Semantic Matches between Database Schemas

R. Dhamankar, Y. Lee, A.H. Doan, A. Halevy, P. DomingosACM SIGMOD International Conference on Management of Data, 2004.

Multi-relational record linkage

P. Singla, P. DomingosKDD Workshop on Multi-Relational Data Mining, 2004.

2003

Trust management for the Semantic Web

M. Richardson, R. Agrawal, P. DomingosInternational Semantic Web Conference, 2003.

Building large knowledge bases by mass collaboration

M. Richardson, P. DomingosInternational Conference on Knowledge Capture, 2003.

Learning with knowledge from multiple experts

M. Richardson, P. DomingosInternational Conference on Machine Learning, 2003.

Mining massive relational databases

G. Hulten, P. Domingos, Y. AbeInternational Workshop on Statistical Relational Learning, 2003.

Research on Statistical Relational Learning at the University of Washington

P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. WolfmanProc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.

2002

Learning from Infinite Data in Finite Time

P. Domingos, G. HultenAnnual Conference on Neural Information Processing Systems, 2002.

Learning to Map between Ontologies on the Semantic Web

A.H. Doan, J. Madhavan, P. Domingos, A. HalevyInternational World Wide Web Conference, 2002.

Mining Complex Models from Arbitrarily Large Databases in Constant Time

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2002.

Relational Markov models and their application to adaptive Web navigation

C. Anderson, P. Domingos, D. WeldKnowledge Discovery and Data Mining, 2002.

2001

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

P. Domingos, G. HultenInternational Conference on Machine Learning, 2001.

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach

A.H. Doan, P. Domingos, A. HalevyACM SIGMOD International Conference on Management of Data, 2001.

Mining the network value of customers

P. Domingos, M. RichardsonKnowledge Discovery and Data Mining, 2001.

Mining Time-Changing Data Streams

G. Hulten, P. Domingos, L. SpencerKnowledge Discovery and Data Mining, 2001.

The intelligent surfer: Probabilistic combination of link and content information in PageRank

M. Richardson, P. DomingosAnnual Conference on Neural Information Processing Systems, 2001.

2000

Mining high-speed data streams

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2000.