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08/08/2022
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
In order to steer e-commerce users towards making a purchase, marketers ...
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03/04/2022
Interpretable Off-Policy Learning via Hyperbox Search
Personalized treatment decisions have become an integral part of modern ...
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03/02/2022
Estimating Conditional Average Treatment Effects with Missing Treatment Information
Estimating conditional average treatment effects (CATE) is challenging, ...
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02/25/2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Estimating heterogeneous treatment effects is an important problem acros...
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12/06/2021
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Estimating individualized treatment effects (ITEs) from observational da...
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12/02/2021
Generalizing Off-Policy Learning under Sample Selection Bias
Learning personalized decision policies that generalize to the target po...
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04/16/2021
Sequential Deconfounding for Causal Inference with Unobserved Confounders
Using observational data to estimate the effect of a treatment is a powe...
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02/09/2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Clinical practice in intensive care units (ICUs) requires early warnings...
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01/21/2021
