Dataset Groups Activity Stream Orthogonal Machine Learning: Power and Limitations The dataset used in the paper is a synthetic demand estimation problem with dense dependence on observables. BibTex: @dataset{Lester_Mackey_and_Vasilis_Syrgkanis_and_Ilias_Zadik_2025, abstract = {The dataset used in the paper is a synthetic demand estimation problem with dense dependence on observables.}, author = {Lester Mackey and Vasilis Syrgkanis and Ilias Zadik}, doi = {10.57702/6g3gixcs}, institution = {No Organization}, keyword = {'demand estimation', 'orthogonal machine learning', 'pricing and purchase data'}, month = {jan}, publisher = {TIB}, title = {Orthogonal Machine Learning: Power and Limitations}, url = {https://service.tib.eu/ldmservice/dataset/orthogonal-machine-learning--power-and-limitations}, year = {2025} }
