Oral Session

Wed 10:15

PM: Bayesian Models and Methods

Spotlight

Thu 10:50

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe

Poster

Thu 15:00

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe

Spotlight

Wed 10:35

Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti · Louis Filstroff · Samuel Kaski

Poster

Wed 15:30

Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti · Louis Filstroff · Samuel Kaski

Spotlight

Wed 11:20

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe

Poster

Wed 15:30

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe

Spotlight

Thu 8:40

Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato

Poster

Thu 15:00

Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato

Oral Session

Wed 7:30

PM: Variational Inference/Bayesian Models and Methods

Poster

Thu 15:00

Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais · Sotirios Chatzis

Poster

Tue 15:30

Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang