Publications

Articles in journals
Paolo Campigotto, Andrea Passerini and Roberto Battiti, Active Learning of Pareto Fronts, IEEE Transactions on Neural Networks and Learning Systems, 25(3):506-519, 2014. Link to pdf    Extended version - technical report

Paolo Campigotto,  Roberto Battiti and Andrea Passerini, Learning Modulo Theories for preference elicitation in hybrid domains, submitted, 2013. Link to pdf in arXiv

Paolo Campigotto, Christian Rudloff, Maximilian Leodolter and Dietmar Bauer, Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm, submitted, 2015.

 


Book chapters
Roberto Battiti and Paolo Campigotto, An Investigation of Reinforcement Learning for Reactive Search Optimization, in Youssef Hamadi, Eric Monfroy and Frederic Saubion (Eds.), Autonomous Search, Springer Verlag, 2011. ISBN: 978-3-642-21433-2. Link to pdf

 

Conference proceedings
Paolo Campigotto, Andrea Passerini and Roberto Battiti, Active learning of Pareto fronts with disconnected feasible decision and objective spaces, in MIC2013: X Metaheuristics International Conference, Singapore, August 5-8, 2013. Link to pdf

Paolo Campigotto, Andrea Passerini and Roberto Battiti, Preference elicitation for interactive learning of Optimization Modulo Theory problems, in Choice Models and Preference Learning workshop (in conjunction with XXV Annual Conference on Neural Information Processing Systems, NIPS 2011), Sierra Nevada, Spain, Dec 17 2011. (Online proceedings). Link to pdf

Paolo Campigotto, Andrea Passerini and Roberto Battiti, Active Learning of Combinatorial Features for Interactive Optimization, in LION V: Learning and Intelligent OptimizatioN Conference, Rome, Italy, Jan 17-21, 2011. Link to pdf

Paolo Campigotto, Andrea Passerini and Roberto Battiti, Handling concept drift in preference learning for interactive decision making, in HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems (in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010), Barcelona, Catalonia, Spain, Sept 24, 2010. (Online proceedings). Link to pdf

Paolo Campigotto and Andrea Passerini, Adapting to a realistic decision maker: experiments towards a reactive multi-objective optimizer, in LION IV: Learning and Intelligent OptimizatioN Conference, Venice, Italy, Jan 18-22, 2010. Link to pdf

Roberto Battiti and Paolo Campigotto, Reactive Search Optimization: Learning While Optimizing. An Experiment in Interactive Multi-Objective Optimization, in MIC2009: VIII Metaheuristics International Conference, Hamburg, Germany, July 13-16, 2009. Link to pdf

Roberto Battiti and Paolo Campigotto, Reinforcement Learning and Reactive Search: an adaptive MAX-SAT solver, in ECAI 08: 18th European Conference on Artificial Intelligence, Patras, Greece, Jul 21-25, 2008. Link to pdf

Roberto Battiti and Paolo Campigotto, Penalties may have collateral effects. A MAX-SAT analysis, in Workshop on Modeling and Solving Problems with Constraints (in conjunction with the 18th European Conference on Artificial Intelligence, ECAI 2008), Patras, Greece, Jul 21-22, 2008. (Online proceedings). Link to pdf

Roberto Battiti, Mauro Brunato, and Paolo Campigotto, Learning while Optimizing an Unknown Fitness Surface, in LION II: Learning and Intelligent OptimizatioN Conference, Trento, Italy, Dec 10-12, 2007. Link to pdf

 

Technical reports
Paolo Campigotto, Andrea Passerini, Roberto Battiti, Active learning of Pareto fronts, Internal Report, No. DISI-13-001, University of Trento, Trento, Italy, 2013. Link to pdf

Paolo Campigotto, Andrea Passerini, and Roberto Battiti, Joint learning and optimization of unknown combinatorial utility functions, Internal Report, No. DISI-13-021, University of Trento, Trento, Italy, 2013. Link to pdf    Slides (by Andrea Passerini)

Roberto Battiti and Paolo Campigotto, Reactive search for Max-Sat: Diversification-Bias properties with prohibitions and penalties, Internal Report, No. DIT-07-058, University of Trento, Trento, Italy, 2007.

 

Conference presentations
Roberto Battiti and Paolo Campigotto, Brain-machine optimization: learning objective functions by interacting with the final user, in XXII Conference of the European Chapter on Combinatorial Optimization (ECCO XXII), Jerusalem, Israel, May 17-19, 2009.

Roberto Battiti and Paolo Campigotto, Reactive search for MAX-SAT: diversification-bias properties with prohibitions and penalties, in First Workshop on Autonomous Search, Providence, Rhode Island, Sept 23, 2007.

Paolo Campigotto and Roberto Battiti, Preprocessing SAT instances for reactive-search based SAT solvers, in XXII European Conference on Operational Research, Prague, Czech Republic, July 8-11, 2007.