David Poole

Orcid: 0000-0002-9361-7629

Affiliations:
  • University of British Columbia, Vancouver, Canada
  • Australian National University, Canberra, ACT, Australia (PhD 1983)


According to our database1, David Poole authored at least 160 papers between 1984 and 2023.

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Bibliography

2023
Knowledge Hypergraph Embedding Meets Relational Algebra.
J. Mach. Learn. Res., 2023

2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning.
CoRR, 2022

Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit.
CoRR, 2022

Probabilistic Programming Languages: Independent Choices and Deterministic Systems.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021
Structure learning for relational logistic regression: an ensemble approach.
Data Min. Knowl. Discov., 2021

Enabling large-scale correlated electronic structure calculations: scaling the RI-MP2 method on summit.
Proceedings of the International Conference for High Performance Computing, 2021

2020
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves.
CoRR, 2020

Scaling the hartree-fock matrix build on summit.
Proceedings of the International Conference for High Performance Computing, 2020

Predicting Landslides Using Locally Aligned Convolutional Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Knowledge Hypergraphs: Prediction Beyond Binary Relations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model.
CoRR, 2019

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations.
CoRR, 2019

Improved Knowledge Graph Embedding Using Background Taxonomic Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Interactive Visualization for Group Decision Analysis.
Int. J. Inf. Technol. Decis. Mak., 2018

Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models.
Frontiers Robotics AI, 2018

Record Linkage to Match Customer Names: A Probabilistic Approach.
CoRR, 2018

SimplE Embedding for Link Prediction in Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

RelNN: A Deep Neural Model for Relational Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Negative probabilities in probabilistic logic programs.
Int. J. Approx. Reason., 2017

Domain Recursion for Lifted Inference with Existential Quantifiers.
CoRR, 2017

Comparing Aggregators for Relational Probabilistic Models.
CoRR, 2017

Why Rules are Complex: Real-Valued Probabilistic Logic Programs are not Fully Expressive.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01574-8, 2016

Why is Compiling Lifted Inference into a Low-Level Language so Effective?
CoRR, 2016

A Learning Algorithm for Relational Logistic Regression: Preliminary Results.
CoRR, 2016

New Liftable Classes for First-Order Probabilistic Inference.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-Level Language.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Negation Without Negation in Probabilistic Logic Programming.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain.
Proceedings of the Advances in Artificial Intelligence, 2016

Lazy Arithmetic Circuits.
Proceedings of the Beyond NP, 2016

2015
Reports of the AAAI 2014 Conference Workshops.
AI Mag., 2015

Representing Aggregators in Relational Probabilistic Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions.
IEEE Trans. Computers, 2014

Population Size Extrapolation in Relational Probabilistic Modelling.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Relational Logistic Regression.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Elimination Ordering in Lifted First-Order Probabilistic Inference.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Relational Logistic Regression: The Directed Analog of Markov Logic Networks.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

Preface.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Foundations of model construction in feature-based semantic science.
J. Log. Comput., 2013

Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)
CoRR, 2013

Probabilistic Semantics and Defaults
CoRR, 2013

A Dynamic Approach to Probabilistic Inference
CoRR, 2013

What is an Optimal Diagnosis?
CoRR, 2013

Sidestepping the Triangulation Problem in Bayesian Net Computations
CoRR, 2013

Inter-causal Independence and Heterogeneous Factorization
CoRR, 2013

Reasoning With Conditional Ceteris Paribus Preference Statem
CoRR, 2013

The AAAI-13 Conference Workshops.
AI Mag., 2013

Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering.
Proceedings of the IJCAI 2013, 2013

Probabilistic Reasoning with Undefined Properties in Ontologically-Based Belief Networks.
Proceedings of the IJCAI 2013, 2013

On Integrating Ontologies with Relational Probabilistic Models.
Proceedings of the Statistical Relational Artificial Intelligence, 2013

Preface.
Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012
ILP turns 20 - Biography and future challenges.
Mach. Learn., 2012

On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Reference classes and relational learning.
Int. J. Approx. Reason., 2012

Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

A Search Algorithm for Latent Variable Models with Unbounded Domains.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Towards Completely Lifted Search-based Probabilistic Inference
CoRR, 2011

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
CoRR, 2011

Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2011

Policy Gradient Planning for Environmental Decision Making with Existing Simulators.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A framework for ontologically-grounded probabilistic matching.
Int. J. Approx. Reason., 2010

Towards a Logic of Feature-Based Semantic Science Theories.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Model AI Assignments.
Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Artificial Intelligence - Foundations of Computational Agents.
Cambridge University Press, ISBN: 978-0-521-51900-7, 2010

2009
Ontology Design for Scientific Theories That Make Probabilistic Predictions.
IEEE Intell. Syst., 2009

Constraint Processing in Lifted Probabilistic Inference.
Proceedings of the UAI 2009, 2009

Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making.
Proceedings of the UAI 2009, 2009

Lifted Aggregation in Directed First-Order Probabilistic Models.
Proceedings of the IJCAI 2009, 2009

Designing and deploying usetube, google's global user experience observation and recording system.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace.
Interact. Comput., 2008

Semantic Science: Ontologies, Data and Probabilistic Theories.
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

The Independent Choice Logic and Beyond.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Semantic Science and Machine-Accessible Scientific Theories.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

2007
A System for Ontologically-Grounded Probabilistic Matching.
Proceedings of the Fifth UAI Bayesian Modeling Applications Workshop (UAI-AW 2007), 2007

Adding Local Constraints to Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2007

Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
Nonparametric Bayesian Logic.
Proceedings of the UAI '05, 2005

Designing CIspace: pedagogy and usability in a learning environment for AI.
Proceedings of the 10th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2005

Probabilistic Reasoning with Hierarchically Structured Variables.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Probability and Equality: A Probabilistic Model of Identity Uncertainty.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
Diagnosis by a waiter and a Mars explorer.
Proc. IEEE, 2004

CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements.
J. Artif. Intell. Res., 2004

Preference-Based Constrained Optimization with CP-Nets.
Comput. Intell., 2004

Qualitative Probabilistic Matching with Hierarchical Descriptions.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Estimating the size of the telephone universe: a Bayesian Mark-recapture approach.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Exploiting Contextual Independence In Probabilistic Inference.
J. Artif. Intell. Res., 2003

Efficient Inference in Large Discrete Domains.
Proceedings of the UAI '03, 2003

Towards more conversational and collaborative recommender systems.
Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003

First-order probabilistic inference.
Proceedings of the IJCAI-03, 2003

Estimation and control of industrial processes with particle filters.
Proceedings of the American Control Conference, 2003

2002
Real-Time Monitoring of Complex Industrial Processes with Particle Filters.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Symmetric Collaborative Filtering Using the Noisy Sensor Model.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000
Abducing through negation as failure: stable models within the independent choice logic.
J. Log. Program., 2000

Building a Stochastic Dynamic Model of Application Use.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Logic, Knowledge Representation, and Bayesian Decision Theory.
Proceedings of the Computational Logic, 2000

Predicting Future User Actions by Observing Unmodified Applications.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Estimating the Value of Computation in Flexible Information Refinement.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Reasoning With Conditional Ceteris Paribus Preference Statements.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On the Role of Context-Specific Independence in Probabilistic Inference.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
Decision Theory, the Situation Calculus and Conditional Plans.
Electron. Trans. Artif. Intell., 1998

Context-specific approximation in probabilistic inference.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

An Anytime Algorithm for Decision Making under Uncertainty.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Computational intelligence - a logical approach.
Oxford University Press, ISBN: 978-0-19-510270-3, 1998

1997
The Independent Choice Logic for Modelling Multiple Agents Under Uncertainty.
Artif. Intell., 1997

Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Exploiting Causal Independence in Bayesian Network Inference.
J. Artif. Intell. Res., 1996

Probabilistic Conflicts in a Search Algorithm for Estimating Posterior Probabilities in Bayesian Networks.
Artif. Intell., 1996

A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Flexible Policy Construction by Information Refinement.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Adapting Decision Theory for Multimedia Presentation Design: User Modelling for Intent-based Authoring.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996

Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
A New Method for Influence Diagram Evaluation.
Comput. Intell., 1995

Exploiting the Rule Structure for Decision Making within the Independent Choice Logic.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Logic Programming for Robot Control.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
A computational theory of decision networks.
Int. J. Approx. Reason., 1994

Representing Diagnosis Knowledge.
Ann. Math. Artif. Intell., 1994

AI Meets Authoring: User Models for Intelligent Multimedia.
Artif. Intell. Rev., 1994

Intercausal Independence and Heterogeneous Factorization.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Solving Asymmetric Decision Problems with Influence Diagrams.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993
Logic Programming, Abduction and Probability - A Top-Down Anytime Algorithm for Estimating Prior and Posterior Probabilities.
New Gener. Comput., 1993

Multiply Sectioned Bayesian Networks and Junction Forests for Large Knowledge-Based Systems.
Comput. Intell., 1993

Multiply sectioned Bayesian networks for neuromuscular diagnosis.
Artif. Intell. Medicine, 1993

Probabilistic Horn Abduction and Bayesian Networks.
Artif. Intell., 1993

Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

The use of conflicts in searching Bayesian networks.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Average-Case Analysis of a Search Algorithm for Estimating Prior and Posterior Probabilities in Bayesian Networks with Extreme Probabilities.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Hypothetically Speaking Default Reasoning and Discourse-Structure.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Exploring Localization in Bayesian Networks for Large Expert Systems.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Stepwise-Decomposable Influence Diagrams.
Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

Logic Programming, Abduction and Probability.
Proceedings of the International Conference on Fifth Generation Computer Systems. FGCS 1992, 1992

1991
Compiling a Default Reasoning System into Prolog.
New Gener. Comput., 1991

The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning.
Artif. Intell., 1991

High Level Path Planning with Uncertainty.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Representing Bayesian Networks Within Probabilistic Horn Abduction.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

The Utility of Consistency-Based Diagnostic Techniques.
Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991

Representing Diagnostic Knowledge for Probabilistic Horn Abduction.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Query Answering in Circumscription.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
A methodology for using a default and abductive reasoning system.
Int. J. Intell. Syst., 1990

What is the most likely diagnosis?
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

1989
Explanation, prediction: an architecture for default, abductive reasoning.
Comput. Intell., 1989

Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

What the Lottery Paradox Tells Us About Default Reasoning.
Proceedings of the 1st International Conference on Principles of Knowledge Representation and Reasoning (KR'89). Toronto, 1989

From Utterance to Belief via Presupposition: Default Logic in User-Modelling.
Proceedings of the Knowledge Based Computer Systems, 1989

Normality and Faults in Logic-Based Diagnosis.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988
Towards solving the multiple extension problem: Combining defaults and probabilities.
Int. J. Approx. Reason., 1988

Combining logic and probability.
Comput. Intell., 1988

A Logical Framework for Default Reasoning.
Artif. Intell., 1988

Probabilsitic semantics and defaults.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

Representing Knowledge for Logic-Based Diagnosis.
Proceedings of the International Conference on Fifth Generation Computer Systems, 1988

1987
Towards Solving the Multiple Extension Problem: Combining Defaults and Probability.
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987

Variables in Hypotheses.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1986
Gracefully adding negation and disjunction to Prolog.
Proceedings of the Third International Conference on Logic Programming, 1986

Using Definite Clauses and Integrity Constraints as the Basis for a Theory Formation Approach to Diagnostic Reasoning.
Proceedings of the Third International Conference on Logic Programming, 1986

1985
On eliminating loops in Prolog.
ACM SIGPLAN Notices, 1985

On the Comparison of Theories: Preferring the Most Specific Explanation.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984
A Logical System for Default Reasoning.
Proceedings of the Non-Monotonic Reasoning Workshop, 1984


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