( en | de | ru )

 

Disambiguation of "Jordon, James"

Author of the publication

copydeleteadd this publication to your clipboard
To Impute or not to Impute? Missing Data in Treatment Effect Estimation.

, , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3568-3590. PMLR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Michael James

Audrein James

Katherine James

Ingrid Jordon-Thaden

Species and genetic diversity of Draba: phylogeny and phylogeography. Uni Heidelberg, (2009)

Ammini James-Mammoottil

 

Other publications of authors with the same name

Gain: Missing data imputation using generative adversarial nets, , and . International conference on machine learning, page 5689--5698. PMLR, (2018)ASAC: Active Sensing using Actor-Critic models., , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 451-473. PMLR, (2019)Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations., , , and . CoRR, (2020)GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets., , and . ICLR (Poster), OpenReview.net, (2018)Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks., , and . AAAI, page 2071-2078. AAAI Press, (2018)Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 792-802. PMLR, (2021)To Impute or not to Impute? Missing Data in Treatment Effect Estimation., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3568-3590. PMLR, (2023)Lifelong Bayesian Optimization., , , and . CoRR, (2019)INVASE: Instance-wise Variable Selection using Neural Networks., , and . ICLR (Poster), OpenReview.net, (2019)KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks., , and . ICLR, OpenReview.net, (2019)