Papers
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
Evan Archer, ll Memming Park, Jonathan W. Pillow
Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan et al.
Bayesian Hierarchical Reinforcement Learning
Feng Cao, Soumya Ray
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley et al.
Bayesian models for Large-scale Hierarchical Classification
Siddharth Gopal, Yiming Yang, Bing Bai et al.
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco et al.
Bayesian nonparametric models for bipartite graphs
Francois Caron
Bayesian nonparametric models for ranked data
Francois Caron, Yee W. Teh
Bayesian Pedigree Analysis using Measure Factorization
Bonnie Kirkpatrick, Alexandre Bouchard-côté
Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts et al.
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier
Bayesian Warped Gaussian Processes
Miguel Lázaro-Gredilla
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson et al.
Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile
Bounding the Probability of Error for High Precision Optical Character Recognition
Gary B. Huang, Andrew Kae, Carl Doersch et al.
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
Zhuang Wang, Koby Crammer, Slobodan Vucetic
Burn-in, bias, and the rationality of anchoring
Falk Lieder, Tom Griffiths, Noah Goodman
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun, Cun-hui Zhang
Cardinality Restricted Boltzmann Machines
Kevin Swersky, Ilya Sutskever, Daniel Tarlow et al.
Causal Bounds and Observable Constraints for Non-deterministic Models
Roland R. Ramsahai
Causal discovery with scale-mixture model for spatiotemporal variance dependencies
Zhitang Chen, Kun Zhang, Laiwan Chan