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Spotlight
Thu Dec 6th 09:45 -- 09:50 AM @ Room 220 E
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Fredrik Lindsten · Jouni Helske · Matti Vihola
Spotlight
Thu Dec 6th 09:50 -- 09:55 AM @ Room 220 E
Boosting Black Box Variational Inference
Francesco Locatello · Gideon Dresdner · Rajiv Khanna · Isabel Valera · Gunnar Raetsch
Spotlight
Thu Dec 6th 09:55 -- 10:00 AM @ Room 220 E
Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor Evans · Prasanth Nair
Spotlight
Thu Dec 6th 10:00 -- 10:05 AM @ Room 220 E
Implicit Reparameterization Gradients
Mikhail Figurnov · Shakir Mohamed · Andriy Mnih
Oral
Thu Dec 6th 10:05 -- 10:20 AM @ Room 220 E
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang · Hao Liu · Qiang Liu
Spotlight
Thu Dec 6th 10:20 -- 10:25 AM @ Room 220 E
Mirrored Langevin Dynamics
Ya-Ping Hsieh · Ali Kavis · Paul Rolland · Volkan Cevher
Spotlight
Thu Dec 6th 10:25 -- 10:30 AM @ Room 220 E
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu · Jinghui Chen · Difan Zou · Quanquan Gu
Spotlight
Thu Dec 6th 10:30 -- 10:35 AM @ Room 220 E
Identification and Estimation of Causal Effects from Dependent Data
Eli Sherman · Ilya Shpitser
Spotlight
Thu Dec 6th 10:35 -- 10:40 AM @ Room 220 E
Causal Inference via Kernel Deviance Measures
Jovana Mitrovic · Dino Sejdinovic · Yee Whye Teh
Spotlight
Thu Dec 6th 10:40 -- 10:45 AM @ Room 220 E
Removing Hidden Confounding by Experimental Grounding
Nathan Kallus · Aahlad Manas Puli · Uri Shalit