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Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach · Patrick Esser · Bjorn Ommer
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Causal Imitation Learning With Unobserved Confounders
Junzhe Zhang · Daniel Kumor · Elias Bareinboim
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Gradient Estimation with Stochastic Softmax Tricks
Max Paulus · Dami Choi · Danny Tarlow · Andreas Krause · Chris Maddison
[ Paper ]
Break
Wed Dec 09 06:45 AM -- 07:00 AM (PST)
Break
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie · Ruichu Cai · Biwei Huang · Clark Glymour · Zhifeng Hao · Kun Zhang
[ Paper ]
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
A Randomized Algorithm to Reduce the Support of Discrete Measures
Francesco Cosentino · Harald Oberhauser · Alessandro Abate
[ Paper ]
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy · Kinjal Basu · Shaunak Chatterjee · Ye Tu
[ Paper ]
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
[ Paper ]
Q&A
Wed Dec 09 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masatoshi Uehara · Masahiro Kato · Shota Yasui
[ Paper ]
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch · Anisha Zaveri
[ Paper ]
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard · Sébastien Lachapelle · Alexandre Lacoste · Simon Lacoste-Julien · Alexandre Drouin
[ Paper ]
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
Junsouk Choi · Robert Chapkin · Yang Ni
[ Paper ]
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter
[ Paper ]
Q&A
Wed Dec 09 08:40 AM -- 08:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Break
Wed Dec 09 08:50 AM -- 09:00 AM (PST)
Break