|
Poster
|
Tue 9:00
|
Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger · David Salinas · Valentin Flunkert
|
|
|
Oral
|
Tue 2:40
|
Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger · David Salinas · Valentin Flunkert
|
|
|
Poster
|
Tue 9:00
|
Bayesian optimization for automated model selection
Gustavo Malkomes · Charles Schaff · Roman Garnett
|
|
|
Poster
|
Wed 9:00
|
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic · Jonathan Scarlett · Andreas Krause · Volkan Cevher
|
|
|
Poster
|
Tue 9:00
|
Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng · Byron Boots
|
|
|
Poster
|
Mon 9:00
|
Probabilistic Linear Multistep Methods
Onur Teymur · Kostas Zygalakis · Ben Calderhead
|
|
|
Poster
|
Tue 9:00
|
Observational-Interventional Priors for Dose-Response Learning
Ricardo Silva
|
|
|
Poster
|
Mon 9:00
|
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
Cristina Savin · Gasper Tkacik
|
|
|
Poster
|
Mon 9:00
|
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Kirthevasan Kandasamy · Gautam Dasarathy · Junier B Oliva · Jeff Schneider · Barnabas Poczos
|
|
|
Poster
|
Mon 9:00
|
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Hassan A Kingravi · Harshal R Maske · Girish Chowdhary
|
|
|
Poster
|
Tue 9:00
|
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu · Peter Frazier
|
|
|
Poster
|
Wed 9:00
|
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny · Robert B Gramacy · Stefan Wild · Sebastien Le Digabel
|
|
