BibTeX 
Publications 
Presentations 
Thesis 
Tech Reports / Unpublished Works
Selected Publications (Chronological)
 S. Sedhain, H. Bui, J. Kawale, N. Vlassis, B. Kveton, A. Menon, T. Bui and S. Sanner (2016).
Practical Linear Models for LargeScale OneClass Collaborative Filtering.
In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI16).
New York, USA.
[pdf]
 S. Kinathil, S. Sanner, S. Das, N. DellaPenna (2016).
A Symbolic Closedform Solution to Sequential Market Making with Inventory.
In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI16).
New York, USA.
[pdf]
 I. Guilliard, S. Sanner, F. Trevizan, and B. Williams (2016).
A Nonhomogenous Time Mixed Integer LP Formulation for Traffic Signal Control.
Transport Research Record (TRR): Journal of the Transport Research Board, accepted.
[pdf (preprint)]
[(video 1)
(video 2)
(video 3)]
 K. V. Delgado, L. N. de Barros, D. B. Dias, and S. Sanner (2016).
Realtime Dynamic Programming for Markov Decision Processes with Imprecise Probabilities.
Artificial Intelligence Journal (AIJ).
Volume 230, pp 192223.
[link]
 H. Afshar, S. Sanner, and C. Webers (2016).
Closedform Gibbs Sampling for Graphical Models with Algebraic Constraints.
In Proceedings of the 30th Conference on Artificial Intelligence (AAAI16).
Phoenix, USA.
[pdf]
[slides (pdf)]
[code (github)]
 S. Sedhain, A. Menon, S. Sanner, and D. Braziunas (2016).
On the Effectiveness of Linear Models for OneClass Collaborative Filtering.
In Proceedings of the 30th Conference on Artificial Intelligence (AAAI16).
Phoenix, USA.
[pdf]
[slides (pdf)]
[code (github)]
 M. Vallati, L. Chrpa, M. Grzes, T. L. McCluskey, M. Roberts, and S. Sanner (2015).
The 2014 International Planning Competition: Progress and Trends.
AI Magazine, 36 (3), 9098.
[pdf (preprint)]
 H. Yu, L. Xie, and S. Sanner (2015).
The Lifecycle of a Youtube Video: Phases, Content, and Popularity.
In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM15).
Oxford, UK.
[pdf]
[code (github)]
 S. Sedhain, A. Menon, S. Sanner, and L. Xie (2015).
AutoRec: Autoencoders Meet Collaborative Filtering.
In Proceedings of the 24th International World Wide Web Conference (WWW15).
Florence, Italy.
[pdf]
[code (github)]
 H. Afshar, S. Sanner, and E. Abbasnejad (2015).
Lineartime Gibbs Sampling in Piecewise Graphical Models.
In Proceedings of the 29th Conference on Artificial Intelligence (AAAI15).
Austin, USA.
[pdf]
[code]
 E. Abbasnejad, J. Domke, and S. Sanner (2015).
Losscalibrated Monte Carlo Action Selection.
In Proceedings of the 29th Conference on Artificial Intelligence (AAAI15).
Austin, USA.
[pdf]
[code]
 L. G. Rocha Vianna, L. N. de Barros, and S. Sanner (2015).
Realtime Symbolic Dynamic Programming for Hybrid MDPs.
In Proceedings of the 29th Conference on Artificial Intelligence (AAAI15).
Austin, USA.
[pdf]
[code]
[evaluation domains]
 G. Wu, S. Sanner, and R. F.S.C. Oliveira (2015).
Bayesian Model Averaging Naive Bayes: Averaging over an Exponential Number of Feature Models in Linear Time.
In Proceedings of the 29th Conference on Artificial Intelligence (AAAI15).
Austin, USA.
[pdf]
[code]
 M. Golestan Far, S. Sanner, M. R. Bouadjenek, G. Ferraro, and D. Hawking (2015).
On Term Selection Techniques for Patent Prior Art Search.
In Proceedings of the 38th Annual ACM SIG Information Retrieval Conference (SIGIR15).
Santiago, Chile.
[pdf]
[poster (pdf)]
[code]
 M. R. Bouadjenek, S. Sanner, and G. Ferraro (2015).
A Study of Query Reformulation for Patent Prior Art Search with Partial Patent Applications.
In Proceedings of the 15th International Conference on Artificial Intelligence & Law (ICAIL15).
San Diego, USA.
[pdf]
[code]
 K.N. Tran, P. Christen, S. Sanner, and L. Xie (2015).
ContextAware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages.
Advances in Knowledge Discovery and Data Mining  19th PacificAsia Conference (PAKDD15).
Ho Chi Minh City, Vietnam.
Recipient of the Best Student Paper Award.
[pdf]
 S. Sedhain, S. Sanner, D. Braziunas, L. Xie, and J. Christensen (2014).
Social Collaborative Filtering for Coldstart Recommendations.
In Proceedings of the ACM Conference on Recommender Systems (RecSys14).
Silicon Valley, USA.
[pdf]
[slides (pdf)]
[poster (pdf)]
 H. Yu, L. Xie, S. Sanner (2014).
Twitterdriven Youtube Views: Beyond Individual Influencers.
In Proceedings of the ACM Conference on Multimedia (ACM MM14).
Orlando, USA.
[pdf]
[poster (pdf)]
[code (github)]
[demo (online)]
 S. Kinathil, S. Sanner, and N. Della Penna (2014).
Closedform Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming.
In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI14).
Quebec City, Canada.
[pdf]
[code]
 R. Marchant, F. Ramos, and S. Sanner (2014).
Sequential Bayesian Optimisation for SpatialTemporal Monitoring.
In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI14).
Quebec City, Canada.
[pdf]
 J. Furnkranz, E. Hullermeier, C. Rudin, S. Sanner, and R. Slowinski (2014).
Preference Learning: Report from Dagstuhl Seminar 14101.
Dagstuhl Reports. Volume 4, Issue 3, pp 127. Dagstuhl, Germany.
[pdf]
 S. Sedhain, S. Sanner, L. Xie, R. Kidd, K.N. Tran, and P. Christen (2013).
Social Affinity Filtering: Recommendation through Finegrained Analysis of User Interactions and Activities.
In Proceedings of the ACM Conference on Online Social Networks (COSN13).
Boston, USA.
[pdf]
[slides (pdf)]
[code]
 E. Abbasnejad, S. Sanner, E. Bonilla, and P. Poupart (2013).
Learning Communitybased Preferences via Dirichlet Process Mixtures of Gaussian Processes.
In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI13).
Beijing, China.
[pdf]
[appendix (pdf)]
[data]
[code]
 Z. Zamani, S. Sanner, K. V. Delgado, and L. N. de Barros (2013).
Robust Optimization for Hybrid MDPs with Statedependent Noise.
In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI13).
Beijing, China.
[pdf]
[code]
 T. Nguyen and S. Sanner (2013).
Algorithms for Direct 01 Loss Optimization in Binary Classification.
In Proceedings of the 30th International Conference on Machine Learning (ICML13).
Atlanta, USA.
[pdf]
[code (zip)]
 R. Mehrotra, S. Sanner, W. Buntine, and L. Xie (2013).
Improving LDA Topic Models for Microblogs via Automatic Tweet Labeling and Pooling.
In Proceedings of the 36th Annual ACM SIG Information Retrieval Conference (SIGIR13).
Dublin, Ireland.
[pdf]
[code]
 L. G. Rocha Vianna, S. Sanner, and L. N. de Barros (2013).
Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs.
In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI13).
Bellevue, USA.
[pdf]
[slides (pdf)]
[code]
 J. Noel, S. Sanner, K.N. Tran, P. Christen, L. Xie, E. Bonilla, E. Abbasnejad, and N. Della Penna (2012).
New Objectives for Social Collaborative Filtering.
In Proceedings of the 21st International Conference on the World Wide Web (WWW12).
Lyon, France.
[pdf]
[slides (pdf)]
[code]
 S. Guo, S. Sanner, T. Graepel, and W. Buntine (2012).
Scorebased Bayesian Skill Learning.
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD12).
Bristol, UK.
[pdf]
[pdf (supplementary material)]
[code]
 K.W. Lim, S. Sanner, and S. Guo (2012). On the Mathematical Relationship between Expected ncall@k and the Relevance vs. Diversity Tradeoff. In Proceedings of the 35th Annual ACM SIG Information Retrieval Conference (SIGIR12). Portland, USA.
[pdf]
[appendix with full derivation (pdf)]
[slides]
 Z. Zamani, S. Sanner, P. Poupart, and K. Kersting (2012).
Symbolic Dynamic Programming for Continuous State and Observation POMDPs.
In Proceedings of the 26th Annual Conference on Advances in Neural Information Processing Systems (NIPS12).
Lake Tahoe, USA.
[pdf]
[code]
 S. Sanner and E. Abbasnejad (2012).
Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
In Proceedings of the 26th Conference on Artificial Intelligence (AAAI12).
Toronto, Canada.
[pdf]
[slides (pdf)]
[poster (pdf)]
[code]
 Z. Zamani, S. Sanner, and C. Fang (2012).
Symbolic Dynamic Programming for Continuous State and Action MDPs.
In Proceedings of the 26th Conference on Artificial Intelligence (AAAI12).
Toronto, Canada.
[pdf]
[slides (pdf)]
[poster (pdf)]
[code]
 A. Coles, A. Coles, A. Garcia Olaya, S. Jimenez, C. Linares Lopez, S. Sanner, and S. Yoon (2012).
A Survey of the Seventh International Planning Competition.
AI Magazine, 33 (1), pp. 8388.
[pdf (preprint)]
 S. Sanner and M. Hutter, editors (2012).
Recent Advances in Reinforcement Learning  9th European Workshop (EWRL).
Springer Verlag, Lecture Notes in Computer Science, Volume 7188, ISBN 9783642299452.
[pdf (table of contents)]
 S. Sanner, S. Guo, T. Graepel, S. Kharazmi, and S. Karimi (2011).
Diverse Retrieval via Greedy Optimization of Expected 1call@k
in a Latent Subtopic Relevance Model.
In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM11).
Glasgow, UK.
[pdf]
[code]
 S. Sanner, K. V. Delgado, and L. N. de Barros (2011).
Symbolic Dynamic Programming for Discrete and Continuous State MDPs.
In Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI11).
Barcelona, Spain.
[pdf]
[slides (pdf)]
[code]
 M. Robards, P. Sunehag, S. Sanner, and B. Marthi (2011).
Sparse KernelSARSA(lambda) with an Eligibility Trace.
In Proceedings of the European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD11).
Athens, Greece.
[pdf]
 B. Ahmadi, K. Kersting, and S. Sanner (2011).
MultiEvidence Lifted Message Passing with Application to PageRank and the Kalman Filter.
In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI11).
Barcelona, Spain.
[pdf]
 K. V. Delgado, S. Sanner, and L. N. de Barros (2011).
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities.
Artificial Intelligence Journal (AIJ). Volume 175, pp 14981527.
[pdf (preprint)]
 K. V. Delgado, L. N. de Barros, F. G. Cozman, and S. Sanner (2011).
Using Mathematical Programming to Solve
Factored Markov Decision Processes with Imprecise Probabilities.
International Journal of Approximate Reasoning (IJAR). Volume 52, Issue 7, October, pp 10001017.
[pdf (preprint)]
 E. Bonilla, S. Guo, and S. Sanner (2010). Gaussian Process Preference Elicitation. In Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS10). Vancouver, Canada.
[pdf]
 C. Downey and S. Sanner (2010). Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. In Proceedings of the 27th International Conference on Machine Learning (ICML10). Haifa, Israel.
[pdf]
[slides (pdf)]
 S. Sanner and K. Kersting (2010). Symbolic Dynamic Programming for Firstorder POMDPs. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI10). Atlanta, USA.
[pdf]
[slides (pdf)]
 S. Guo and S. Sanner (2010). Probabilistic Latent Maximal Marginal Relevance. In Proceedings of the 33rd Annual ACM SIG Information Retrieval Conference (SIGIR10). Geneva, Switzerland.
[pdf]
(Note: CIKM11 and SIGIR12 supercede this work.)
 S. Sanner, W. Uther, and K. V. Delgado (2010). Approximate Dynamic Programming with Affine ADDs. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS10). Toronto, Canada.
[pdf]
[slides (pdf)]
[code]
 S. Guo and S. Sanner (2010). Realtime Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS10). Sardinia, Italy.
[pdf]
[slides for older version of work (pdf)]
[code (zip)]

S. Sanner and K. Kersting (2010). Symbolic dynamic programming. In C. Sammut, editor, Encyclopedia of Machine Learning, pp. 946954. SpringerVerlag.
[pdf (preprint)]
 K. V. Delgado, S. Sanner, L. N. de Barros, and F. G. Cozman (2009). Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities. In Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS09). Thessaloniki, Greece.
[pdf]
[slides (pdf)]
 S. Sanner, R. Goetschalckx, K. Driessens, and G. Shani (2009). Bayesian Realtime Dynamic Programming. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI09). San Jose, USA.
[pdf]
[slides (pdf)]
[code (tgz)]
 R. Goetschalckx, S. Sanner, and K. Driessens (2008). Costsensitive parsimonious linear
regression. In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM08). Pisa, Italy.
[pdf]
 R. Goetschalckx, S. Sanner, and K. Driessens (2008). Reinforcement learning with the use of costly features. Proceedings of the 18th European Conference on Artificial Intelligence (ECAI08). Patras, Greece.
[short version (pdf)]
Extended version in European Workshop on Reinforcement Learning (EWRL08).
[extended version (pdf)]
 S. Sanner (2008). How to spice up your planning under uncertainty research life. Workshop on a Reality Check for Planning and Scheduling Under Uncertainty (at ICAPS08). Sydney, Australia.
[pdf]
[slides (pdf)]
 S. Sanner, and C. Boutilier (2007). Approximate solution techniques for factored firstorder MDPs. In Proceedings of the 17th Conference on Automated Planning and Scheduling (ICAPS07).
[ps.gz] [pdf]
[slides (pdf)]
 S. Sanner, T. Graepel, R. Herbrich, and T. Minka (2007).
Learning CRFs with hierarchical features: An application to the game of Go.
In Proceedings of the Workshop on Constrained Optimization and Structured Output Spaces (at ICML07).
[ps.gz] [pdf]
[slides (pdf)]
 S. Sanner and S. McIlraith (2006). An ordered theory
resolution calculus for
hybrid reasoning in firstorder extensions of description logic.
In Proceedings of the 10th International
Conference on Principles of Knowledge Representation
and Reasoning (KR06).
[ps.gz] [pdf]
[slides (pdf  color)]
[slides (pdf  bw)]
 S. Sanner (2006). Online feature discovery in relational reinforcement learning.
In Proceedings of the Open Problems in Statistical Relational Learning Workshop (SRL06).
[ps.gz] [pdf]
[slides (pdf  color)]
[slides (pdf  bw)]
 S. Sanner and D. McAllester (2005). Affine algebraic decision
diagrams (AADDs) and their application to structured probabilistic
inference. In Proceedings of the 19th International Joint
Conference on AI (IJCAI05).
[ps.gz] [pdf]
[slides (pdf  color)]
[slides (pdf  bw)]
[code]
 S. Sanner (2005). Simultaneous learning of structure and value in
relational reinforcement learning. In Proceedings of the Rich Representations for Relational Reinforcement Learning Workshop (RRfRL05).
[ps.gz] [pdf]
[slides (pdf  color)]
[slides (pdf  bw)]
 D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, and S. Thrun (2002).
Learning hierarchical object maps of nonstationary
environments with mobile robots. In Proceedings of the 18th
Conference on Uncertainty in AI (UAI02). [ps.gz
(large)] [pdf]
 R. Biswas, B. Limketkai, S. Sanner, and S. Thrun (2002). Towards
object mapping in dynamic environments with mobile robots. In
Proceedings of the Conference on Intelligent Robots and Systems
(IROS02). [ps.gz
(large)] [pdf]
 S. Sanner, J. R. Anderson, C. Lebiere, and M. Lovett (2000).
Achieving efficient and cognitively plausible learning in
backgammon. In Proceedings of the 17th International
Conference on Machine Learning (ICML00). [ps.gz] [pdf] (C++ Source Code [tar.gz]
and associated [README]
file.)
Presentations
 S. Sanner (2014). Tutorial Slides for
Decision Diagrams in Automated Planning and Scheduling from ICAPS2011.
[pdf]
 S. Sanner (2014). Tutorial Slides for
Introduction to Planning Domain Modeling in RDDL from ICAPS2011.
[pdf]
 S. Sanner (2013). Tutorial Slides for
Symbolic Methods for Probabilistic Inference, Optimization, and Decisionmaking from ICAPS2011.
[pdf]
 S. Sanner (2010). Tutorial Slides for
Graphical Models from ICAPS2010.
[pdf]
 S. Sanner (2010). Tutorial Slides for
Traffic Control from ICAPS2010.
[pdf]
 S. Sanner (2009). Tutorial Slides for
Reinforcement Learning from SSLL2009.
[pdf]
 S. Sanner (2008). Newly revised Firstorder MDP (FOMDP) Tutorial Slides.
[pdf]
Also see slides from the ICAPS2008 tutorial on Firstorder Planning Techniques given with Kristian Kersting and Saket Joshi. [web site]
 S. Sanner (2006). Lecture slides for an introduction to
the field of Automated Theorem Proving.
[pdf]
 S. Sanner (2001). Talk slides for a quick
introduction to the field of Description Logics, its history, and
some of its core (and beautiful) motivating ideas. [ps.gz]
[pdf]
Thesis
 S. Sanner (2008). Firstorder decisiontheoretic planning in structured relational environments. PhD Thesis, University of Toronto. Accepted: 12/2007; Publication Date: 3/2008.
[ps.gz] [pdf]
Technical Reports and Unpublished Works
 S. Sanner (2011). Relational Dynamic Influence Diagram Language (RDDL): Language Description.
Unpublished.
[pdf]
[tutorial slides (pdf)]
 S. Sanner (2005). Future directions for firstorder decisiontheoretic planning. Research Proposal, University of Toronto.
[ps.gz] [pdf]
(Presentation Slides:
[pdf (color)]
[pdf (bw)])
 S. Sanner (2004). Relational and firstorder decisiontheoretic
planning: Foundations and future directions. Depth Report,
University of Toronto. [ps.gz] [pdf]
(Note: There is also a deterministic planning supplement to this report.
[ps.gz] [pdf] )
 S. Sanner (2004). Refutationcomplete binary decision diagrams. Unpublished.
[ps.gz] [pdf]
 S. Sanner (2003). Towards practical taxonomic classification for
description logics on the Semantic Web. Technical Report,
Stanford University, Knowledge Systems Lab: KSL0306. [ps.gz] [pdf] [Java Theorem Prover (JTP) software including the DAML+OIL classification reasoner]
(Note: There is also a less technical, condensed version of this
paper. [ps.gz] [pdf] )