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Poster
Tue 9:00 Streaming Coresets for Symmetric Tensor Factorization
Supratim Shit · Rachit Chhaya · Jayesh Choudhari · Anirban Dasgupta
Poster
Tue 8:00 Nonparametric Score Estimators
Yuhao Zhou · Jiaxin Shi · Jun Zhu
Poster
Thu 7:00 Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
Thu 7:00 Provable Smoothness Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Thu 6:00 Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman · Yian Ma
Poster
Tue 13:00 Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans · Volodimir Begy · Gilles Louppe
Poster
Thu 6:00 Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam · David Dunson