Cussens, James

27 publications

CLeaR 2023 Branch-Price-and-Cut for Causal Discovery James Cussens

PGM 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-or Relations Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter Beek

PGM 2020 Dual Formulation of the Chordal Graph Conjecture Milan Studeny, James Cussens, Vaclav Kratochvil

PGM 2020 GOBNILP: Learning Bayesian Network Structure with Integer Programming James Cussens

PGM 2020 Kernel-Based Approach for Learning Causal Graphs from Mixed Data Teny Handhayani, James Cussens

AISTATS 2020 On Pruning for Score-Based Bayesian Network Structure Learning Alvaro Henrique Chaim Correia, James Cussens, Cassio de Campos

AAAI 2019 Finding All Bayesian Network Structures Within a Factor of Optimal Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

PGM 2018 Markov Random Field MAP as Set Partitioning James Cussens

MLJ 2018 Preface to the Special Issue on Inductive Logic Programming James Cussens, Alessandra Russo

JAIR 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity James Cussens, Matti Järvisalo, Janne H. Korhonen, Mark Bartlett

IJCAI 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) James Cussens, Matti Järvisalo, Janne H. Korhonen, Mark Bartlett

PGM 2016 The Chordal Graph Polytope for Learning Decomposable Models Milan Studený, James Cussens

UAI 2013 Advances in Bayesian Network Learning Using Integer Programming James Cussens, Mark Bartlett

MLJ 2012 Online Bayesian Inference for the Parameters of PRISM Programs James Cussens

UAI 2011 Bayesian Network Learning with Cutting Planes James Cussens

UAI 2008 Bayesian Network Learning by Compiling to Weighted MAX-SAT James Cussens

IJCAI 2005 Exploiting Informative Priors for Bayesian Classification and Regression Trees Nicos Angelopoulos, James Cussens

ICML 2005 Tempering for Bayesian C&RT Nicos Angelopoulos, James Cussens

UAI 2003 CLP(BN): Constraint Logic Programming for Probabilistic Knowledge Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens

UAI 2001 Markov Chain Monte Carlo Using Tree-Based Priors on Model Structure Nicos Angelopoulos, James Cussens

MLJ 2001 Parameter Estimation in Stochastic Logic Programs James Cussens

AISTATS 2001 Statistical Aspects of Stochastic Logic Programs James Cussens

UAI 2000 Stochastic Logic Programs: Sampling, Inference and Applications James Cussens

UAI 1999 Loglinear Models for First-Order Probabilistic Reasoning James Cussens

ICML 1995 A Bayesian Analysis of Algorithms for Learning Finite Functions James Cussens

ECML-PKDD 1993 Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability James Cussens

AAAI 1993 Generating Explicit Orderings for Non-Monotonic Logics James Cussens, Anthony Hunter, Ashwin Srinivasan