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Oral Session
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Wed 10:15
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PM: Bayesian Models and Methods
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Spotlight
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Thu 10:50
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Poster
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Thu 15:00
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Poster
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Wed 15:30
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Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti · Louis Filstroff · Samuel Kaski
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Spotlight
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Wed 10:35
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Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti · Louis Filstroff · Samuel Kaski
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Poster
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Wed 15:30
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Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe
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Spotlight
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Wed 11:20
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Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe
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Spotlight
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Thu 8:40
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Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
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Poster
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Thu 15:00
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Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
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Oral Session
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Wed 7:30
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PM: Variational Inference/Bayesian Models and Methods
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Poster
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Thu 15:00
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Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais · Sotirios Chatzis
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Poster
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Tue 15:30
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Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
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