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68 Results

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Poster
Thu 9:00 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé · Alicia Curth · Ioana Bica · Mihaela van der Schaar
Workshop
Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
Poster
Thu 9:00 Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
Amin Jaber · Adele Ribeiro · Jiji Zhang · Elias Bareinboim
Poster
Thu 9:00 Direct Advantage Estimation
Hsiao-Ru Pan · Nico Gürtler · Alexander Neitz · Bernhard Schölkopf
Poster
Tue 9:00 Fast Instrument Learning with Faster Rates
Ziyu Wang · Yuhao Zhou · Jun Zhu
Poster
Tue 14:00 On the detrimental effect of invariances in the likelihood for variational inference
Richard Kurle · Ralf Herbrich · Tim Januschowski · Yuyang (Bernie) Wang · Jan Gasthaus
Workshop
Counterfactual reasoning: Do Language Models need world knowledge for causal inference?
Jiaxuan Li · Lang Yu · Allyson Ettinger
Poster
Thu 14:00 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
Mayleen Cortez · Matthew Eichhorn · Christina Yu
Poster
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
Xin Wang · Shengfei Lyu · Xingyu Wu · Tianhao Wu · Huanhuan Chen
Poster
Wed 14:00 Online Reinforcement Learning for Mixed Policy Scopes
Junzhe Zhang · Elias Bareinboim
Workshop
Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton
Workshop
Fri 9:45 Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton