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31 Results
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Poster
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Tue 18:30 |
Validating Causal Inference Models via Influence Functions Ahmed Alaa · Mihaela van der Schaar |
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Oral
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Wed 14:00 |
Causal Identification under Markov Equivalence: Completeness Results Amin Jaber · Jiji Zhang · Elias Bareinboim |
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Oral
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Thu 9:00 |
Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay · Piyushi Manupriya · Anirban Sarkar · Vineeth N Balasubramanian |
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Oral
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Wed 14:35 |
Orthogonal Random Forest for Causal Inference Miruna Oprescu · Vasilis Syrgkanis · Steven Wu |
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Poster
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Wed 18:30 |
Conditional Independence in Testing Bayesian Networks Yujia Shen · Haiying Huang · Arthur Choi · Adnan Darwiche |
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Poster
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Wed 18:30 |
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus |
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Poster
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Thu 18:30 |
Learning Optimal Fair Policies Razieh Nabi · Daniel Malinsky · Ilya Shpitser |
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Poster
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Wed 18:30 |
More Efficient Off-Policy Evaluation through Regularized Targeted Learning Aurelien Bibaut · Ivana Malenica · Nikos Vlassis · Mark van der Laan |
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Poster
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Thu 18:30 |
Making Decisions that Reduce Discriminatory Impacts Matt J. Kusner · Chris Russell · Joshua Loftus · Ricardo Silva |
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Oral
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Wed 15:05 |
Sensitivity Analysis of Linear Structural Causal Models Carlos Cinelli · Daniel Kumor · Bryant Chen · Judea Pearl · Elias Bareinboim |
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Poster
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Wed 18:30 |
Orthogonal Random Forest for Causal Inference Miruna Oprescu · Vasilis Syrgkanis · Steven Wu |
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Workshop
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Fri 16:00 |
Suchi Saria (John Hopkins) - Link between Causal Inference and Reinforcement Learning and Applications to Learning from Offline/Observational Data Suchi Saria |