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Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
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Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Boosting Black Box Variational Inference
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Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Discretely Relaxing Continuous Variables for tractable Variational Inference
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Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Implicit Reparameterization Gradients
Oral
Thu Dec 06 07:05 AM -- 07:20 AM (PST) @ Room 220 E
Variational Inference with Tail-adaptive f-Divergence
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Video]
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Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Mirrored Langevin Dynamics
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Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
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Slides]
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Indexed Video]
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Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Identification and Estimation of Causal Effects from Dependent Data
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Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 220 E
Causal Inference via Kernel Deviance Measures
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Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Removing Hidden Confounding by Experimental Grounding