Scott Sanner

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Lexing XieAustralian National UniversityVerified email at anu.edu.au
Suvash SedhainTwitter IncVerified email at twitter.com
Leliane Nunes de BarrosProfessor of the Computer Science Department at University of São Paulo, BrazilVerified email at ime.usp.br
Shengbo GuoSenior Research Scientist, FacebookVerified email at sisa.samsung.com
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Karina Valdivia DelgadoUniversidade de São PauloVerified email at usp.br
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU Darmstadt, GermanyVerified email at cs.tu-darmstadt.de
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
Mohamed Reda BouadjenekLecturer (Assistant Professor) of Applied Artificial Intelligence at Deakin UniversityVerified email at deakin.edu.au
Wray BuntineProfessor, MonashVerified email at monash.edu
Harold SohAssistant Professor at National University of SingaporeVerified email at comp.nus.edu.sg
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Darius BraziunasTD Bank GroupVerified email at cs.toronto.edu
Peter ChristenLeibniz Visiting Professor, University of Leipzig; and Professor, Australian National UniversityVerified email at anu.edu.au
Khoi-Nguyen TranResearch Software Engineer, IBM Almaden Research CenterVerified email at ibm.com
Manuel CebrianMax Planck Research Group Leader, Max Planck Institute for Human DevelopmentVerified email at mpib-berlin.mpg.de
Marian-Andrei RIZOIUUniversity of Technology SydneyVerified email at uts.edu.au
Sebastian ThrunStanfordVerified email at stanford.edu

Scott Sanner

University of Toronto

Verified email at mie.utoronto.ca - Homepage

Artificial Intelligence Machine Learning Information Retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Autorec: Autoencoders meet collaborative filtering S Sedhain, AK Menon, S Sanner, L Xie Proceedings of the 24th international conference on World Wide Web, 111-112, 2015	677	2015
Improving lda topic models for microblogs via tweet pooling and automatic labeling R Mehrotra, S Sanner, W Buntine, L Xie Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013	448	2013
Relational dynamic influence diagram language (rddl): Language description S Sanner Unpublished ms. Australian National University 32, 27, 2010	225	2010
Towards object mapping in non-stationary environments with mobile robots R Biswas, B Limketkai, S Sanner, S Thrun IEEE/RSJ international conference on intelligent robots and systems 1, 1014-1019, 2002	177	2002
Learning hierarchical object maps of non-stationary environments with mobile robots D Anguelov, R Biswas, D Koller, B Limketkai, S Thrun arXiv preprint arXiv:1301.0551, 2012	133	2012
Expecting to be hip: Hawkes intensity processes for social media popularity MA Rizoiu, L Xie, S Sanner, M Cebrian, H Yu, P Van Hentenryck Proceedings of the 26th International Conference on World Wide Web, 735-744, 2017	120	2017
A survey of the seventh international planning competition A Coles, A Coles, AG Olaya, S Jiménez, CL López, S Sanner, S Yoon AI Magazine 33 (1), 83-88, 2012	119	2012
The 2014 international planning competition: Progress and trends M Vallati, L Chrpa, M Grześ, TL McCluskey, M Roberts, S Sanner Ai Magazine 36 (3), 90-98, 2015	115	2015
Social collaborative filtering for cold-start recommendations S Sedhain, S Sanner, D Braziunas, L Xie, J Christensen Proceedings of the 8th ACM Conference on Recommender systems, 345-348, 2014	112	2014
Practical solution techniques for first-order MDPs S Sanner, C Boutilier Artificial Intelligence 173 (5-6), 748-788, 2009	105	2009
Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference S Sanner, D McAllester IJCAI 2005, 1384-1390, 2005	99	2005
New objective functions for social collaborative filtering J Noel, S Sanner, KN Tran, P Christen, L Xie, EV Bonilla, E Abbasnejad, ... Proceedings of the 21st international conference on World Wide Web, 859-868, 2012	94	2012
Gaussian process preference elicitation E Bonilla, S Sanner Neural Information Processing Systems (NIPS), 2010	94*	2010
Algorithms for direct 0–1 loss optimization in binary classification T Nguyen, S Sanner International Conference on Machine Learning, 1085-1093, 2013	93	2013
Efficient solutions to factored MDPs with imprecise transition probabilities KV Delgado, S Sanner, LN De Barros Artificial Intelligence 175 (9-10), 1498-1527, 2011	91	2011
Achieving efficient and cognitively plausible learning in backgammon S Sanner, J R Anderson, C Lebiere, M Lovett Carnegie Mellon University, 2000	88	2000
Symbolic dynamic programming for first-order POMDPs S Sanner, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	83	2010
Real-time multiattribute bayesian preference elicitation with pairwise comparison queries S Guo, S Sanner AI and Statistics (AISTATS), 2010	77	2010
Deep learning with microfluidics for biotechnology J Riordon, D Sovilj, S Sanner, D Sinton, EWK Young Trends in biotechnology 37 (3), 310-324, 2019	76	2019
Approximate linear programming for first-order MDPs S Sanner, C Boutilier arXiv preprint arXiv:1207.1415, 2012	76	2012

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