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32 Results
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Poster
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Wed 9:00 |
Ladder Variational Autoencoders Casper Kaae Sønderby · Tapani Raiko · Lars Maaløe · Søren Kaae Sønderby · Ole Winther |
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Poster
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Tue 9:00 |
An equivalence between high dimensional Bayes optimal inference and M-estimation Madhu Advani · Surya Ganguli |
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Poster
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Wed 9:00 |
Estimating the Size of a Large Network and its Communities from a Random Sample Lin Chen · Amin Karbasi · Forrest W. Crawford |
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Poster
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Wed 9:00 |
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling Chengtao Li · Suvrit Sra · Stefanie Jegelka |
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Poster
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Tue 9:00 |
Stochastic Gradient Geodesic MCMC Methods Chang Liu · Jun Zhu · Yang Song |
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Poster
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Tue 9:00 |
Bayesian optimization for automated model selection Gustavo Malkomes · Charles Schaff · Roman Garnett |
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Poster
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Mon 9:00 |
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu · Dilin Wang |
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Poster
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Tue 9:00 |
The Generalized Reparameterization Gradient Francisco Ruiz · Michalis Titsias · David Blei |
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Poster
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Mon 9:00 |
An urn model for majority voting in classification ensembles Victor Soto · Alberto Suárez · Gonzalo Martinez-Muñoz |
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Poster
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Tue 9:00 |
Coresets for Scalable Bayesian Logistic Regression Jonathan Huggins · Trevor Campbell · Tamara Broderick |
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Poster
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Tue 9:00 |
Bayesian Intermittent Demand Forecasting for Large Inventories Matthias W Seeger · David Salinas · Valentin Flunkert |
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Oral
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Tue 2:40 |
Bayesian Intermittent Demand Forecasting for Large Inventories Matthias W Seeger · David Salinas · Valentin Flunkert |