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Congratulations to Shantanu Gupta (Shantanu Gupta) on being selected for the 2023 Amazon Graduate Research Fellows Program along with three other SCS students! cs.cmu.edu/news/2023/amaz… #AmazonScience

Later today: 10:30 ET @ CDG we are honored to see Shantanu Gupta with their CLeaR-Conference on Causal Learning and Reasoning'23 paper: "Local Causal Discovery for Estimating Causal Effects" (proceedings.mlr.press/v213/gupta23b/…) All info & links @ discuss.causality.link 🌿 cc: Rachel Leah Childers Zachary Lipton

(1/6) Recommender systems shape our digital experiences, filtering much of what we see online. But how should we measure their influence? We provide a unified causal framework to think through this question and develop metrics to audit recommender systems. arxiv.org/abs/2409.13210

Check out our new paper on a **general causal framework** for auditing recommender systems, focusing on ethical concerns like user agency! Joint work with Vibhhu Sharma Shantanu Gupta Nil-Jana Akpinar Zachary Lipton. Paper can be found at: arxiv.org/abs/2409.13210.

Online Data Collection for Efficient Semiparametric Inference ift.tt/ofdAv3l

New work by Shantanu Gupta, Zachary Lipton, and me on adaptively combining data sources for general semiparametric models. Think "design of experiments" but replace "experiments" with anything you can estimate by semiparametric GMM.