Scott Sanner
Cited by
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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
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
Relational dynamic influence diagram language (rddl): Language description
S Sanner
Unpublished ms. Australian National University 32, 27, 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
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
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
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
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
Practical solution techniques for first-order MDPs
S Sanner, C Boutilier
Artificial Intelligence 173 (5-6), 748-788, 2009
Algorithms for direct 0–1 loss optimization in binary classification
T Nguyen, S Sanner
International Conference on Machine Learning, 1085-1093, 2013
Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference
S Sanner, D McAllester
IJCAI 2005, 1384-1390, 2005
Gaussian process preference elicitation
E Bonilla, S Sanner
Neural Information Processing Systems (NIPS), 2010
Efficient solutions to factored MDPs with imprecise transition probabilities
KV Delgado, S Sanner, LN De Barros
Artificial Intelligence 175 (9-10), 1498-1527, 2011
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
Achieving efficient and cognitively plausible learning in backgammon
S Sanner, J R Anderson, C Lebiere, M Lovett
Carnegie Mellon University, 2000
Deep learning with microfluidics for biotechnology
J Riordon, D Sovilj, S Sanner, D Sinton, EWK Young
Trends in biotechnology 37 (3), 310-324, 2019
Symbolic dynamic programming for first-order POMDPs
S Sanner, K Kersting
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Real-time multiattribute bayesian preference elicitation with pairwise comparison queries
S Guo, S Sanner
AI and Statistics (AISTATS), 2010
Approximate linear programming for first-order MDPs
S Sanner, C Boutilier
arXiv preprint arXiv:1207.1415, 2012
Symbolic Dynamic Programming for Discrete and Continuous State MDPs
S Sanner, KV Delgado, LN de Barros
Uncertainty in AI (UAI), 2011
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