no code implementations • 11 May 2021 • Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia
In this work, we bring a new vision to uplift modeling.
no code implementations • 7 Feb 2021 • Serge Vicente, Alejandro Murua
Simulations with artificial datasets and applications to real datasets show that determinantal consensus clustering outperform classical algorithms such as k-medoids and k-means consensus clusterings which are based on uniform random sampling of center points.
no code implementations • 9 Jun 2020 • Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia
Recurrent neural networks (RNN) such as long-short-term memory (LSTM) networks are essential in a multitude of daily live tasks such as speech, language, video, and multimodal learning.
no code implementations • 28 Nov 2019 • Mouloud Belbahri, Alejandro Murua, Olivier Gandouet, Vahid Partovi Nia
We introduce a Qini-based uplift regression model to analyze a large insurance company's retention marketing campaign.