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Identifying When Effect Restoration Will Improve Estimates of Causal Effect.

, , and . SDM, page 190-198. SIAM, (2019)

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Towards Measuring Fine-Grained Diversity Using Social Media Photographs., , and . ICWSM, page 668-671. AAAI Press, (2017)Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL., , and . CoRR, (2019)Identifying When Effect Restoration Will Improve Estimates of Causal Effect., , and . SDM, page 190-198. SIAM, (2019)SODA: Protecting Proprietary Information in On-Device Machine Learning Models., , , and . SEC, page 121-132. IEEE, (2023)Preserving Privacy in Personalized Models for Distributed Mobile Services., , and . ICDCS, page 875-886. IEEE, (2021)Protecting Proprietary Information in on-Device Machine Learning Models., , , and . HotMobile, page 138. ACM, (2023)E-petition Information Diffusion in Online Social Networks., , , , , , and . DG.O, page 515-517. ACM, (2016)Do Individuals Smile More in Diverse Social Company?: Studying Smiles and Diversity Via Social Media Photos., , and . ACM Multimedia, page 1818-1827. ACM, (2017)Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning., , and . ICLR, OpenReview.net, (2020)Towards Preserving Server-Side Privacy of On-Device Models., , , , , , and . WWW (Companion Volume), page 282-285. ACM, (2022)