A Relational Modeling System for Linear and Integer Programming, Operations Research, vol.48, issue.6, pp.846-857, 2000. ,
DOI : 10.1287/opre.48.6.846.12388
Lifting relational map-lps using cluster signatures, Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014. ,
Exploiting symmetries for scaling loopy belief propagation and relational training, Machine Learning, vol.2, issue.2, pp.91-132112, 2013. ,
DOI : 10.1007/s10994-013-5385-0
Network flows: theory, algorithms , and applications, 1993. ,
All-paths graph kernel for protein-protein interaction extraction with evaluation of crosscorpus learning, BMC bioinformatics, issue.9 11, p.2, 2008. ,
Learning to rank by maximizing auc with linear programming, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp.123-129, 2006. ,
Dimensionality reduction via sparse support vector machines, Journal of Machine Learning Research, vol.3, pp.1229-1243, 2003. ,
Tight Lower and Upper Bounds for the Complexity of Canonical Colour Refinement, Proceedings of the 21st Annual European Symposium on Algorithms (SEA), pp.145-156, 2013. ,
DOI : 10.1007/s00224-016-9686-0
Symmetries of linear programs, Note di Matematica, vol.30, issue.1, pp.129-132, 2010. ,
Algorithms for highly symmetric linear and integer programs, Mathematical Programming, vol.8, issue.4, pp.65-90, 2013. ,
DOI : 10.1007/s10107-011-0487-6
Automorphism groups of graphical models and lifted variational inference, Proc. of the 29th Conference on Uncertainty in Artificial Intelligence (UAI-2013), 2013. ,
Shortest-path kernels on graphs, Data Mining, Fifth IEEE International Conference on, p.8, 2005. ,
GAMS: A User's Guide, 1992. ,
Detecting Orbitopal Symmetries, Operations Research Proceedings, pp.433-438, 2008. ,
DOI : 10.1007/978-3-642-00142-0_70
Embedding optimisation algorithms with Mosel, Quarterly Journal of the Belgian, French and Italian Operations Research Societies, vol.1, issue.2, pp.155-167, 2003. ,
DOI : 10.1007/s10288-003-0014-6
Enhanced hypertext categorization using hyperlinks, Proceedings ACM SIGMOD International Conference on Management of Data (SIGMOD), pp.307-318, 1998. ,
Computing the optimal strategy to commit to, Proceedings of the 7th ACM conference on Electronic commerce , EC '06, pp.82-90, 2006. ,
DOI : 10.1145/1134707.1134717
Linear programming boosting via column generation, Machine Learning, pp.225-254, 2002. ,
Linear programming boosting via column generation, Machine Learning, pp.225-254, 2002. ,
Model minimization in markov decision processes, Proc. of the Fourteenth National Conference on Artificial Intelligence (AAAI-97), pp.106-111, 1997. ,
Linear Programming 2: Theory and Extensions Optimization modeling languages, Handbook of Applied Optimization, pp.993-1007, 2002. ,
AMPL: A Mathematical Programing Language, 1993. ,
DOI : 10.1007/978-3-642-83724-1_12
Pairwise markov logic, Proceedings of the 22nd International Conference (ILP), pp.58-73, 2012. ,
Simply logical -intelligent reasoning by example, 1994. ,
A relational database approach to a linear programming-based decision support system for production planning in secondary wood product manufacturing, Decision Support Systems, vol.40, issue.2, pp.183-196, 2005. ,
DOI : 10.1016/j.dss.2004.02.001
Exponential and geometric kernels for graphs, NIPS Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, pp.49-58, 2002. ,
Artificial intelligence: From programs to solvers, AI Commun, vol.27, issue.1, pp.45-51, 2014. ,
First-order mixed integer linear programming, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI), pp.213-222, 2009. ,
Dimension Reduction via Colour Refinement, 2013. ,
DOI : 10.1007/978-3-662-44777-2_42
Itemset mining: A constraint programming perspective, Artificial Intelligence, vol.175, issue.12-13, pp.12-131951, 2011. ,
DOI : 10.1016/j.artint.2011.05.002
Compact graphs and equitable partitions, Linear Algebra Appl, vol.255, pp.259-266, 1997. ,
Algebraic Graph Theory, 2001. ,
DOI : 10.1007/978-1-4613-0163-9
Introduction to Statistical Relational Learning, 2007. ,
Convolution kernels on discrete structures, 1999. ,
Cyclic pattern kernels for predictive graph mining, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.158-167, 2004. ,
DOI : 10.1145/1014052.1014072
Counting Belief Propagation, Proc. of the 25th Conf. on Uncertainty in Artificial Intelligence (UAI?09), 2009. ,
Exact and Approximate Inference for Annotating Graphs with Structural SVMs, Proceedings of ECML/PKDD, Part 1), pp.611-623, 2008. ,
DOI : 10.1007/978-3-540-87479-9_58
Lifted probabilistic inference, Proceedings of ECAI-2012KPT08] Nikos Komodakis, Nikos Paragios, and Georgios Tziritas. Clustering via lp-based stabilities. In NIPS, pp.865-872, 2008. ,
Algebraic languages for mathematical programming, European Journal of Operation Research, vol.67, pp.25-51 ,
On the complexity of solving markov decision problems, Proc. of the 11th International Conference on Uncertainty in Artificial Intelligence (UAI-95), pp.394-402, 1995. ,
On the complexity of solving markov decision problems, roceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence (UAI), pp.394-402, 1995. ,
Foundations of Logic Programmin, 1987. ,
Lifted linear programming Symmetry in integer linear programming, International Conference on Artificial Intelligence and Statistics 50 Years of Integer Programming From the Early Years to the State-of-the-Art, pp.788-797, 1958. ,
CVXGEN: a code generator for embedded convex optimization, Optimization and Engineering, vol.14, issue.6, pp.1-27, 2012. ,
DOI : 10.1007/s11081-011-9176-9
Sets and indices in linear programming modelling and their integration with relational data models, Computational Optimization and Applications, vol.4, pp.263-283, 1995. ,
Efficient lifting of map lp relaxations using k-locality, 17th Int. Conf. on Artificial Intelligence and Statistics, p.2014, 2014. ,
Probabilistic logic, Artificial Intelligence, vol.28, issue.1, pp.71-87, 1986. ,
Iterative classification in relational data, Proc. AAAI- 2000 Workshop on Learning Statistical Models from Relational Data, pp.13-20, 2000. ,
Collective classification with relational dependency networks, Proceedings of the Second International Workshop on Multi-Relational Data Mining, pp.77-91, 2003. ,
Relational dependency networks, The Journal of Machine Learning Research, vol.8, pp.653-692, 2007. ,
Rockit: Exploiting parallelism and symmetry for map inference in statistical relational models, Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013. ,
Algorithms for inverse reinforcement learning, Icml, pp.663-670, 2000. ,
On the hardness of finding symmetries in Markov decision processes, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.688-695, 2008. ,
DOI : 10.1145/1390156.1390243
Tuffy, Proceedings of the VLDB Endowment, pp.373-384, 2011. ,
DOI : 10.14778/1978665.1978669
First-order probabilistic inference, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), pp.985-991, 2003. ,
Symmetries and model minimization in markov decision processes, 2001. ,
Markov logic networks, Markov logic networks, pp.107-136, 2006. ,
DOI : 10.1007/s10994-006-5833-1
Statistical relational learning, Encyclopedia of Machine Learning, pp.916-924, 2010. ,
Fractional isomorphism of graphs, Discrete Mathematics, vol.132, issue.1-3, pp.247-265, 1994. ,
DOI : 10.1016/0012-365X(94)90241-0
On the use of linear programming for unsupervised text classification, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining , KDD '05, pp.256-264, 2005. ,
DOI : 10.1145/1081870.1081901
Reinforcement Learning: An Introduction Practical solution techniques for first-order mdps, Artif. Intell, vol.173, pp.5-6748, 1998. ,
DOI : 10.1007/978-1-4615-3618-5
Apprenticeship learning using linear programming, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.1032-1039, 2008. ,
DOI : 10.1145/1390156.1390286
Lifted First-Order Belief Propagation, Proc. of the 23rd AAAI Conf. on Artificial Intelligence (AAAI-08), pp.1094-1099, 2008. ,
Hierarchical directed acyclic graph kernel, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.32-39, 2003. ,
DOI : 10.3115/1075096.1075101
Collective classification in network data, AI Magazine, vol.29, issue.3, pp.93-106, 2008. ,
Collective classification in network data Sellmann and P. Van Hentenryck. Structural symmetry breaking, Proc. of 19th International Joint Conference on Artificial Intelligence (IJCAI-05), pp.93-106, 2005. ,
Convex adversarial collective classification, Proceedings of the 30th International Conference on Machine Learning (ICML) (1), pp.642-650, 2013. ,
Statistical learning theory (adaptive and learning systems for signal processing , communications and control series, 1998. ,
Graphical models, exponential families, and variational inference, Foundations and Trends R in Machine Learning, vol.1, issue.12, pp.1-305, 2008. ,
Large-margin structured prediction via linear programming, 12th Int. Conf. on Artificial Intelligence and Statistics, pp.599-606, 2009. ,
An instantiation-based theorem prover for firstorder programming, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS) JMLR Proceedings, pp.855-863, 2011. ,
Linear programming support vector machines, Pattern Recognition, vol.35, issue.12, pp.2927-2936, 2002. ,
DOI : 10.1016/S0031-3203(01)00210-2