François Laviolette

Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil: Learning a peptide-protein binding affinity predictor with kernel ridge regression. BMC Bioinformatics 14: 82 (2013)

Josée Desharnais, François Laviolette, Sami Zhioua: Testing probabilistic equivalence through Reinforcement Learning. Inf. Comput. 227: 21-57 (2013)

Guy Lever, François Laviolette, John Shawe-Taylor: Tighter PAC-Bayes bounds through distribution-dependent priors. Theor. Comput. Sci. 473: 4-28 (2013)

Alexandre Lacoste, François Laviolette, Mario Marchand: Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets. Journal of Machine Learning Research - Proceedings Track 22: 665-675 (2012)

Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor: PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. Journal of Machine Learning Research - Proceedings Track 26: 98-111 (2012)

Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer: PAC-Bayesian Inequalities for Martingales. IEEE Transactions on Information Theory 58(12): 7086-7093 (2012)

Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper: A Pseudo-Boolean Set Covering Machine. CP 2012: 916-924

Michael Morin, Anika-Pascale Papillon, Irène Abi-Zeid, François Laviolette, Claude-Guy Quimper: Constraint Programming for Path Planning with Uncertainty - Solving the Optimal Search Path Problem. CP 2012: 988-1003

Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer: PAC-Bayesian Inequalities for Martingales. UAI 2012: 12

Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil: Learning a peptide-protein binding affinity predictor with kernel ridge regression. CoRR abs/1207.7253 (2012)

Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant: PAC-Bayesian Learning and Domain Adaptation. CoRR abs/1212.2340 (2012)

Josée Desharnais, François Laviolette, Amélie Turgeon: A logical duality for underspecified probabilistic systems. Inf. Comput. 209(5): 850-871 (2011)

Pascal Germain, Alexandre Lacoste, François Laviolette, Mario Marchand, Sara Shanian: A PAC-Bayes Sample-compression Approach to Kernel Methods. ICML 2011: 297-304

Jean-Francis Roy, François Laviolette, Mario Marchand: From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. ICML 2011: 649-656

Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner: PAC-Bayesian Analysis of Contextual Bandits. NIPS 2011: 1683-1691

Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer: PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. CoRR abs/1105.2416 (2011)

Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters: PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off. CoRR abs/1105.4585 (2011)

Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor: PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. CoRR abs/1110.6755 (2011)

Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer: PAC-Bayesian Inequalities for Martingales. CoRR abs/1110.6886 (2011)

Sébastien Boisvert, François Laviolette, Jacques Corbeil: Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies. Journal of Computational Biology 17(11): 1519-1533 (2010)

François Laviolette, Mario Marchand, Mohak Shah, Sara Shanian: Learning the set covering machine by bound minimization and margin-sparsity trade-off. Machine Learning 78(1-2): 175-201 (2010)

Guy Lever, François Laviolette, John Shawe-Taylor: Distribution-Dependent PAC-Bayes Priors. ALT 2010: 119-133

Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin: Learning with Randomized Majority Votes. ECML/PKDD (2) 2010: 162-177

Josée Desharnais, François Laviolette, Amélie Turgeon: A Demonic Approach to Information in Probabilistic Systems. CONCUR 2009: 289-304

Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand: PAC-Bayesian learning of linear classifiers. ICML 2009: 45

Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Sara Shanian: From PAC-Bayes Bounds to KL Regularization. NIPS 2009: 603-610

Sami Zhioua, Doina Precup, François Laviolette, Josée Desharnais: Learning the Difference between Partially Observable Dynamical Systems. ECML/PKDD (2) 2009: 664-677

François Laviolette, Mario Marchand, Sara Shanian: Selective Sampling for Classification. Canadian Conference on AI 2008: 191-202

François Laviolette, Ludovic Tobin: A Stochastic Point-Based Algorithm for POMDPs. Canadian Conference on AI 2008: 332-343

Massih-Reza Amini, François Laviolette, Nicolas Usunier: A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. NIPS 2008: 65-72

Josée Desharnais, François Laviolette, Mathieu Tracol: Approximate Analysis of Probabilistic Processes: Logic, Simulation and Games. QEST 2008: 264-273

François Laviolette, Mario Marchand: PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers. Journal of Machine Learning Research 8: 1461-1487 (2007)

Zakria Hussain, François Laviolette, Mario Marchand, John Shawe-Taylor, S. Charles Brubaker, Matthew D. Mullin: Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data. Journal of Machine Learning Research 8: 2533-2549 (2007)

Vincent Danos, Josee Desharnais, François Laviolette, Prakash Panangaden: Bisimulation and cocongruence for probabilistic systems. Inf. Comput. 204(4): 503-523 (2006)

Josee Desharnais, François Laviolette, Krishna Priya Darsini Moturu, Sami Zhioua: Trace Equivalence Characterization Through Reinforcement Learning. Canadian Conference on AI 2006: 371-382

Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari: A Selective Sampling Strategy for Label Ranking. ECML 2006: 18-29

Josee Desharnais, François Laviolette, Sami Zhioua: Testing Probabilistic Equivalence Through Reinforcement Learning. FSTTCS 2006: 236-247

Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand: A PAC-Bayes Risk Bound for General Loss Functions. NIPS 2006: 449-456

Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier: PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. NIPS 2006: 769-776

François Laviolette: Decompositions of infinite graphs: I - bond-faithful decompositions. J. Comb. Theory, Ser. B 94(2): 259-277 (2005)

François Laviolette: Decompositions of infinite graphs: Part II circuit decompositions. J. Comb. Theory, Ser. B 94(2): 278-333 (2005)

François Laviolette, Mario Marchand, Mohak Shah: Margin-Sparsity Trade-Off for the Set Covering Machine. ECML 2005: 206-217

François Laviolette, Mario Marchand: PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. ICML 2005: 481-488

François Laviolette, Mario Marchand, Mohak Shah: A PAC-Bayes approach to the Set Covering Machine. NIPS 2005

François Laviolette: The Countable Character of Uncountable Graphs. Electr. Notes Theor. Comput. Sci. 87: 205-224 (2004)

Gena Hahn, François Laviolette, Norbert Sauer, Robert E. Woodrow: On cop-win graphs. Discrete Mathematics 258(1-3): 27-41 (2002)

Marc Chastand, François Laviolette, Norbert Polat: On constructible graphs, infinite bridged graphs and weakly cop-win graphs. Discrete Mathematics 224(1-3): 61-78 (2000)

François Laviolette, Norbert Polat: Spanning trees of countable graphs omitting sets of dominated ends. Discrete Mathematics 194(1-3): 151-172 (1999)

Benoit Larose, François Laviolette, Claude Tardif: On Normal Cayley Graphs and Hom-idempotent Graphs. Eur. J. Comb. 19(7): 867-881 (1998)

Gena Hahn, François Laviolette, Jozef Sirán: Edge-Ends in Countable Graphs. J. Comb. Theory, Ser. B 70(2): 225-244 (1997)

François Laviolette: Decomposition of infinite eulerian graphs with a small number of vertices of infinite degree. Discrete Mathematics 130(1-3): 83-87 (1994)