Papers
Basis Learning as an Algorithmic Primitive
Mikhail Belkin, Luis Rademacher, James Voss
Batch Bayesian Optimization via Local Penalization
Javier Gonzalez, Zhenwen Dai, Philipp Hennig et al.
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
Xi Chen, Kevin Jiao, Qihang Lin
Bayesian Generalised Ensemble Markov Chain Monte Carlo
Jes Frellsen, Ole Winther, Zoubin Ghahramani et al.
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 Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger, David Salinas, Valentin Flunkert
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words
Ryu Takeda, Kazunori Komatani
Bayesian latent structure discovery from multi-neuron recordings
Scott Linderman, Ryan P. Adams, Jonathan W Pillow
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
Aki Vehtari, Tommi Mononen, Ville Tolvanen et al.
Bayesian Markov Blanket Estimation
Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek et al.
Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints
Jean-François Patri, Pascal Perrier, Julien Diard
Bayesian Networks: a Combined Tuning Heuristic
Janneke H. Bolt
Bayesian Networks for Variable Groups
Pekka Parviainen, Samuel Kaski
Bayesian Nonparametric Kernel-Learning
Junier B. Oliva, Avinava Dubey, Andrew G. Wilson et al.
Bayesian optimization for automated model selection
Gustavo Malkomes, Charles Schaff, Roman Garnett
Bayesian optimization for automated model selection
Gustavo Malkomes, Chip Schaff, Roman Garnett
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann, Jukka Corander
Bayesian Optimization for Probabilistic Programs
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent et al.
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny, Robert B. Gramacy, Stefan Wild et al.
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Remi Lam, Karen Willcox, David H. Wolpert
Bayesian Optimization with Robust Bayesian Neural Networks
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner et al.
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David Blei et al.