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2002.04083
Cited By
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
International Conference on Learning Representations (ICLR), 2020
10 February 2020
Ioana Bica
Ahmed Alaa
James Jordon
M. Schaar
BDL
CML
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Papers citing
"Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations"
50 / 121 papers shown
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Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
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Adversary-Free Counterfactual Prediction via Information-Regularized Representations
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363
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284
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Deep Learning for Time Series Forecasting: A Survey
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384
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Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series
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Causal machine learning for predicting treatment outcomes
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Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
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Alicia Curth
Stefan Bauer
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Isaac S. Kohane
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375
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11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
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An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
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296
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Leon Deng
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Li-wei H. Lehman
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537
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IGC-Net for conditional average potential outcome estimation over time
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Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck
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331
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Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
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FiP: a Fixed-Point Approach for Causal Generative Modeling
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Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
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Hiroyasu Iso
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