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Learning Fair Policies for Multi-Stage Selection Problems from Observational Data.

, , , and . AAAI, page 21188-21196. AAAI Press, (2024)

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Learning Fair Policies for Multi-Stage Selection Problems from Observational Data., , , and . AAAI, page 21188-21196. AAAI Press, (2024)A heat and mass transfer model based on multi-component heterogeneity for corn kernel tempering drying: Development and application., , , , , and . Comput. Electron. Agric., (2020)Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms., and . CoRR, (2020)D2BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty., , , , , and . INFOCOM, page 120-129. IEEE, (2022)ReDBeam: Real-time MU-MIMO Beamforming with Limited CSI Data Samples., , , , , and . ICC, page 5104-5110. IEEE, (2024)MU-MIMO Beamforming With Limited Channel Data Samples., , , , , and . IEEE J. Sel. Areas Commun., 42 (11): 3032-3047 (November 2024)Combinatorial Algorithms for Optimal Design., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 2210-2258. PMLR, (2019)Robust multi-product newsvendor model with uncertain demand and substitution., , and . Eur. J. Oper. Res., 293 (1): 190-202 (2021)Beyond symmetry: best submatrix selection for the sparse truncated SVD., and . Math. Program., 208 (1): 1-50 (November 2024)Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball.. Oper. Res. Lett., 48 (4): 513-523 (2020)