Poole, David

49 publications

JMLR 2023 Knowledge Hypergraph Embedding Meets Relational Algebra Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole

ICMLW 2020 Conditioning on "and Nothing Else": Simple Models of Missing Data Between Naive Bayes and Logistic Regression David Poole, Ali Mohammad Mehr, Wan Shing Martin Wang

IJCAI 2020 Knowledge Hypergraphs: Prediction Beyond Binary Relations Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole

IJCAI 2020 Predicting Landslides Using Locally Aligned Convolutional Neural Networks Ainaz Hajimoradlou, Gioachino Roberti, David Poole

AAAI 2019 Improved Knowledge Graph Embedding Using Background Taxonomic Information Bahare Fatemi, Siamak Ravanbakhsh, David Poole

AAAI 2018 RelNN: A Deep Neural Model for Relational Learning Seyed Mehran Kazemi, David Poole

NeurIPS 2018 SimplE Embedding for Link Prediction in Knowledge Graphs Seyed Mehran Kazemi, David Poole

UAI 2017 Why Rules Are Complex: Real-Valued Probabilistic Logic Programs Are Not Fully Expressive David Buchman, David Poole

NeurIPS 2016 New Liftable Classes for First-Order Probabilistic Inference Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole

AAAI 2015 Representing Aggregators in Relational Probabilistic Models David Buchman, David Poole

AAAI 2014 Elimination Ordering in Lifted First-Order Probabilistic Inference Seyed Mehran Kazemi, David Poole

IJCAI 2013 Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering David Poole, Mark Crowley

IJCAI 2013 Probabilistic Reasoning with Undefined Properties in Ontologically-Based Belief Networks Chia-Li Kuo, David Buchman, Arzoo Katiyar, David Poole

AAAI 2012 A Search Algorithm for Latent Variable Models with Unbounded Domains Michael Chiang, David Poole

MLJ 2012 ILP Turns 20 - Biography and Future Challenges Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan

AISTATS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando De Freitas

AAAI 2011 Policy Gradient Planning for Environmental Decision Making with Existing Simulators Mark Crowley, David Poole

AAAI 2010 Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 Maria Fox, David Poole

UAI 2009 Constraint Processing in Lifted Probabilistic Inference Jacek Kisynski, David Poole

IJCAI 2009 Lifted Aggregation in Directed First-Order Probabilistic Models Jacek Kisynski, David Poole

UAI 2009 Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making Mark Crowley, John Nelson, David Poole

UAI 2007 A System for Ontologically-Grounded Probabilistic Matching Rita Sharma, David Poole, Clinton Smyth

AAAI 2007 Logical Generative Models for Probabilistic Reasoning About Existence, Roles and Identity David Poole

UAI 2005 Nonparametric Bayesian Logic Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole

IJCAI 2005 Probabilistic Reasoning with Hierarchically Structured Variables Rita Sharma, David Poole

JAIR 2004 CP-Nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole

UAI 2003 Efficient Inference in Large Discrete Domains Rita Sharma, David Poole

IJCAI 2003 First-Order Probabilistic Inference David Poole

NeurIPS 2002 Real-Time Monitoring of Complex Industrial Processes with Particle Filters Rubén Morales-Menéndez, Nando de Freitas, David Poole

UAI 2001 Symmetric Collaborative Filtering Using the Noisy Sensor Model Rita Sharma, David Poole

UAI 2000 Building a Stochastic Dynamic Model of Application Use Peter Gorniak, David Poole

AAAI 2000 Predicting Future User Actions by Observing Unmodified Applications Peter Gorniak, David Poole

UAI 1999 Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole

UAI 1998 Context-Specific Approximation in Probabilistic Inference David Poole

IJCAI 1997 Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference David Poole

UAI 1996 A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility David Poole

AAAI 1996 Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations Craig Boutilier, David Poole

UAI 1995 Exploiting the Rule Structure for Decision Making Within the Independent Choice Logic David Poole

IJCAI 1995 Logic Programming for Robot Control David Poole

UAI 1994 UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, Seattle, Washington, USA, July 29-31, 1994 Ramón López de Mántaras, David Poole

IJCAI 1993 Average-Case Analysis of a Search Algorithm for Estimating Prior and Posterior Probabilities in Bayesian Networks with Extreme Probabilities David Poole

IJCAI 1993 Hypothetically Speaking Default Reasoning and Discourse-Structure Andrew Csinger, David Poole

UAI 1993 The Use of Conflicts in Searching Bayesian Networks David Poole

UAI 1992 Exploring Localization in Bayesian Networks for Large Expert Systems Yang Xiang, David Poole, Michael P. Beddoes

IJCAI 1991 Query Answering in Circumscription Nicolas Helft, Katsumi Inoue, David Poole

IJCAI 1991 Representing Diagnostic Knowledge for Probabilistic Horn Abduction David Poole

IJCAI 1989 Normality and Faults in Logic-Based Diagnosis David Poole

IJCAI 1987 Variables in Hypotheses David Poole

IJCAI 1985 On the Comparison of Theories: Preferring the Most Specific Explanation David Poole