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21 Results
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Workshop
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Fri 16:15 |
Karthik Sridharan: Online learning, Probabilistic Inequalities and the Burkholder Method |
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Poster
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Mon 18:30 |
Expectation Propagation for t-Exponential Family Using q-Algebra Futoshi Futami · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 18:30 |
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder · Yuhuai Wu · David Duvenaud |
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Poster
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Mon 18:30 |
Trimmed Density Ratio Estimation Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu |
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Poster
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Wed 18:30 |
Tractability in Structured Probability Spaces Arthur Choi · Yujia Shen · Adnan Darwiche |
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Poster
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Tue 18:30 |
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco Cusumano-Towner · Vikash Mansinghka |
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Poster
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Tue 18:30 |
Reducing Reparameterization Gradient Variance Andrew Miller · Nick Foti · Alexander D'Amour · Ryan Adams |
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Poster
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Mon 18:30 |
Differentially private Bayesian learning on distributed data Mikko Heikkilä · Eemil Lagerspetz · Samuel Kaski · Kana Shimizu · Sasu Tarkoma · Antti Honkela |
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Poster
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Wed 18:30 |
Deanonymization in the Bitcoin P2P Network Giulia Fanti · Pramod Viswanath |
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Poster
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Tue 18:30 |
Parallel Streaming Wasserstein Barycenters Matt Staib · Sebastian Claici · Justin Solomon · Stefanie Jegelka |
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Poster
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Mon 18:30 |
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Platanios · Hoifung Poon · Tom M Mitchell · Eric Horvitz |
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Poster
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Mon 18:30 |
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks Qinliang Su · xuejun Liao · Lawrence Carin |