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Improved Approximation and Scalability for Fair Max-Min Diversification

https://doi.org/10.4230/LIPIcs.ICDT.2022.7

Addanki, Raghavendra ; McGregor, Andrew ; Meliou, Alexandra ; Moumoulidou, Zafeiria ( March 2022 , 25th International Conference on Database Theory (ICDT))

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Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries

Addanki, Raghavendra ; McGregor, Andrew ; Musco, Cameron ( January 2022 , ESA 2022)

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Improved Approximation and Scalability for Fair Max-Min Diversification

Addanki, Raghavendra ; McGregor, Andrew ; Meliou, Alexandra ; Moumoulidou, Zafeiria ( January 2022 , ICDT 2022)

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Sample Constrained Treatment Effect Estimation

Addanki, Raghavendra ; Arbour, David ; Mai, Tung ; Musco, Cameron ; Rao, Anup B. ( January 2022 , Conference on Neural Information Processing Systems (NeurIPS))

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How to Design Robust Algorithms using Noisy Comparison Oracle

Addanki, Raghavendra ; Galhotra, Sainyam ; Saha, Barna ( January 2021 , Proceedings of the VLDB Endowment)
null (Ed.)
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Intervention Efficient Algorithms for Approximate Learning of Causal Graphs

Addanki, Raghavendra ; McGregor, Andrew ; Musco, Cameron ( January 2021 , ALT 2021)

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How to Design Robust Algorithms using Noisy Comparison Oracle

https://doi.org/10.14778/3467861.3467862

Addanki, Raghavendra ; Galhotra, Sainyam ; Saha, Barna ( January 2021 , Proceedings of the VLDB Endowment)
null (Ed.)
Full Text Available