Papers
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning
Hà Quang Minh, Loris Bazzani, Vittorio Murino
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
bandicoot: a Python Toolbox for Mobile Phone Metadata
Yves-Alexandre de Montjoye, Luc Rocher, Alex Sandy Pentland
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
Xi Chen, Kevin Jiao, Qihang Lin
Bayesian Graphical Models for Multivariate Functional Data
Hongxiao Zhu, Nate Strawn, David B. Dunson
Bayesian group factor analysis with structured sparsity
Shiwen Zhao, Chuan Gao, Sayan Mukherjee et al.
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
Aki Vehtari, Tommi Mononen, Ville Tolvanen et al.
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann, Jukka Corander
Bayesian Policy Gradient and Actor-Critic Algorithms
Mohammad Ghavamzadeh, Yaakov Engel, Michal Valko
BayesPy: Variational Bayesian Inference in Python
Jaakko Luttinen
Bipartite Ranking: a Risk-Theoretic Perspective
Aditya Krishna Menon, Robert C. Williamson
Blending Learning and Inference in Conditional Random Fields
Tamir Hazan, Alexander G. Schwing, Raquel Urtasun
Bootstrap-Based Regularization for Low-Rank Matrix Estimation
Julie Josse, Stefan Wager
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach
Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras et al.
Causal Inference through a Witness Protection Program
Ricardo Silva, Robin Evans
Cells in Multidimensional Recurrent Neural Networks
Gundram Leifert, Tobias Strauß, Tobias Grüning et al.
Challenges in multimodal gesture recognition
Sergio Escalera, Vassilis Athitsos, Isabelle Guyon
Characteristic Kernels and Infinitely Divisible Distributions
Yu Nishiyama, Kenji Fukumizu
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
Sylvain Arlot, Matthieu Lerasle
Classification of Imbalanced Data with a Geometric Digraph Family
Artür Manukyan, Elvan Ceyhan
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
Wei Chen, Yajun Wang, Yang Yuan et al.
Complexity of Representation and Inference in Compositional Models with Part Sharing
Alan Yuille, Roozbeh Mottaghi
Composite Multiclass Losses
Robert C. Williamson, Elodie Vernet, Mark D. Reid
Compressed Gaussian Process for Manifold Regression
Rajarshi Guhaniyogi, David B. Dunson