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Improved Approximation and Scalability for Fair Max-Min Diversification., , , and . ICDT, volume 220 of LIPIcs, page 7:1-7:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Sample Constrained Treatment Effect Estimation., , , , and . NeurIPS, (2022)Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform., , , , , , , , , and . WWW (Companion Volume), page 396-400. ACM, (2023)Intervention Efficient Algorithms for Approximate Learning of Causal Graphs., , and . ALT, volume 132 of Proceedings of Machine Learning Research, page 151-184. PMLR, (2021)Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries., , and . ESA, volume 244 of LIPIcs, page 2:1-2:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Intervention Efficient Algorithms for Approximate Learning of Causal Graphs., , and . CoRR, (2020)Collaborative Causal Discovery with Atomic Interventions., and . NeurIPS, page 12761-12773. (2021)Efficient Intervention Design for Causal Discovery with Latents., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 63-73. PMLR, (2020)Continuous Treatment Effects with Surrogate Outcomes., , , , , , and . CoRR, (2024)How to Design Robust Algorithms using Noisy Comparison Oracle., , and . Proc. VLDB Endow., 14 (10): 1703-1716 (2021)