Papers
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney, Judea Pearl
Barrier Frank-Wolfe for Marginal Inference
Rahul G Krishnan, Simon Lacoste-Julien, David Sontag
Basis Mapping Based Boosting for Object Detection
Haoyu Ren, Ze-Nian Li
Basis refinement strategies for linear value function approximation in MDPs
Gheorghe Comanici, Doina Precup, Prakash Panangaden
Batched Bandit Problems
Vianney Perchet, Philippe Rigollet, Sylvain Chassang et al.
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
Adith Swaminathan, Thorsten Joachims
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett et al.
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
Peixian Chen, Naiyan Wang, Nevin L. Zhang et al.
Bayesian and Empirical Bayesian Forests
Taddy Matthew, Chun-Sheng Chen, Jun Yu et al.
Bayesian dark knowledge
Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy et al.
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar et al.
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
Bayesian Model Adaptation for Crowd Counts
Bo Liu, Nuno Vasconcelos
Bayesian Multiple Target Localization
Purnima Rajan, Weidong Han, Raphael Sznitman et al.
Bayesian Nonparametric Covariance Regression
Emily B. Fox, David B. Dunson
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh et al.
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation
Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari et al.
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Bayesian Sparse Representation for Hyperspectral Image Super Resolution
Naveed Akhtar, Faisal Shafait, Ajmal Mian
b-bit Marginal Regression
Martin Slawski, Ping Li
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
Best-Buddies Similarity for Robust Template Matching
Tali Dekel, Shaul Oron, Michael Rubinstein et al.