papers
Publications (12)
cs.AI2012
Approximate Linear Programming for First-order MDPs
Scott Sanner, Craig Boutilier
cs.IR2016
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off
Kar Wai Lim, Scott Sanner, Shengbo Guo
cs.AI2013
Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs
Luis Gustavo Vianna, Scott Sanner, Leliane Nunes de Barros
cs.AI2012
Symbolic Dynamic Programming for Discrete and Continuous State MDPs
Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
cs.SI2017
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner +3
cs.AI2017
Stochastic Planning and Lifted Inference
Roni Khardon, Scott Sanner
cs.AI2012
Practical Linear Value-approximation Techniques for First-order MDPs
Scott Sanner, Craig Boutilier
cs.AI2019
Reward Potentials for Planning with Learned Neural Network Transition Models
Buser Say, Scott Sanner, Sylvie Thiébaux
cs.LG2017
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
Ga Wu, Buser Say, Scott Sanner
stat.ML2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
Ga Wu, Justin Domke, Scott Sanner
cs.IR2018
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering
Ga Wu, Maksims Volkovs, Chee Loong Soon +2
cs.IR2018
Aesthetic Features for Personalized Photo Recommendation
Yu Qing Zhou, Ga Wu, Scott Sanner +1