Papers
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception
Benjamin Burchfiel, George Konidaris
Bayesian GAN
Yunus Saatci, Andrew G Wilson
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
Ransalu Senanayake, Fabio Ramos
Bayesian Hybrid Matrix Factorisation for Data Integration
Thomas Brouwer, Pietro Lio
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors
Michael Riis Andersen, Aki Vehtari, Ole Winther et al.
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed M. Alaa, Mihaela van der Schaar
Bayesian inference on random simple graphs with power law degree distributions
Juho Lee, Creighton Heaukulani, Zoubin Ghahramani et al.
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction
Joseph Campbell, Heni Ben Amor
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
Scott Linderman, Matthew Johnson, Andrew Miller et al.
Bayesian Learning of Dynamic Multilayer Networks
Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts
Bayesian Modeling of Lexical Resources for Low-Resource Settings
Nicholas Andrews, Mark Dredze, Benjamin Van Durme et al.
Bayesian Models of Data Streams with Hierarchical Power Priors
Andrés Masegosa, Thomas D. Nielsen, Helge Langseth et al.
Bayesian Network Learning via Topological Order
Young Woong Park, Diego Klabjan
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract)
James Cussens, Matti Järvisalo, Janne H. Korhonen et al.
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, Andrew G Wilson et al.
Bayesian Optimization with Tree-structured Dependencies
Rodolphe Jenatton, Cedric Archambeau, Javier González et al.
Bayesian Supervised Hashing
Zihao Hu, Junxuan Chen, Hongtao Lu et al.
Bayesian Tensor Regression
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity
Toshihiko Yamasaki, Yiwei Zhang, Jiani Hu et al.
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane et al.
Belief Change in a Preferential Non-monotonic Framework
Giovanni Casini, Thomas Meyer
Belief Manipulation Through Propositional Announcements
Aaron Hunter, François Schwarzentruber, Eric Tsang
Belief Propagation in Conditional RBMs for Structured Prediction
Wei Ping, Alex Ihler
Benchmarking Denoising Algorithms With Real Photographs
Tobias Plotz, Stefan Roth
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision
Sandro Pezzelle, Marco Marelli, Raffaella Bernardi