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Poster
Tue 14:00 Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
Sebastian Macaluso · Craig Greenberg · Nicholas Monath · Ji Ah Lee · Patrick Flaherty · Kyle Cranmer · Andrew McGregor · Andrew McCallum
Poster
Tue 14:00 Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang · Nimar Arora · Nazanin Tehrani · Yucen Li · Michael Tingley · Erik Meijer
Poster
Tue 14:00 Associative Convolutional Layers
Hamed Omidvar · Vahideh Akhlaghi · Hao Su · Massimo Franceschetti · Rajesh Gupta
Poster
Tue 14:00 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
Oral
Tue 17:00 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
Poster
Tue 18:30 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
Zheng Wang · Wei Xing · Robert Kirby · Shandian Zhe
Poster
Tue 18:30 Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
Hunter Lang · Aravind Reddy Talla · David Sontag · Aravindan Vijayaraghavan
Poster
Tue 18:30 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
Sean Plummer · Shuang Zhou · Anirban Bhattacharya · David Dunson · Debdeep Pati
Poster
Tue 18:30 Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
Luhuan Wu · Andrew Miller · Lauren Anderson · Geoff Pleiss · David Blei · John Cunningham
Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 6:00 A unified view of likelihood ratio and reparameterization gradients
Paavo Parmas · Masashi Sugiyama
Poster
Wed 6:00 Improving predictions of Bayesian neural nets via local linearization
Alexander Immer · Maciej Korzepa · Matthias Bauer