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Poster
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Tue 10:45
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Kernel Instrumental Variable Regression
Rahul Singh · Maneesh Sahani · Arthur Gretton
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Poster
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Wed 10:45
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Perceiving the arrow of time in autoregressive motion
Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
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Poster
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Tue 17:30
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Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett · Nathan Kallus
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Poster
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Wed 10:45
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Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
Nathan Kallus · Masatoshi Uehara
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Poster
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Wed 10:45
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An Algorithm to Learn Polytree Networks with Hidden Nodes
Firoozeh Sepehr · Donatello Materassi
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Poster
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Thu 10:45
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PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu · Lu Zhang · Xintao Wu · Hanghang Tong
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Poster
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Tue 17:30
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Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Junzhe Zhang · Elias Bareinboim
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Poster
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Tue 10:45
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Debiased Bayesian inference for average treatment effects
Kolyan Ray · Botond Szabo
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Poster
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Tue 10:45
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Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett · Nathan Kallus · Tobias Schnabel
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Poster
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Thu 10:45
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Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
Nathan Kallus · Angela Zhou
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Poster
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Thu 10:45
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A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
Wenhao Zhang · Si Wu · Brent Doiron · Tai Sing Lee
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Poster
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Tue 10:45
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Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis
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