Choice modelling in the age of machine learning -- discussion paper

28 January 2021

Papers citing "Choice modelling in the age of machine learning -- discussion paper"

6 / 6 papers shown

Title
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 89 320 0 22 Feb 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 64 400 0 19 Oct 2020
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability Yafei Han F. Pereira M. Ben-Akiva C. Zegras 55 43 0 03 Feb 2020
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 87 3,005 0 19 Oct 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 331 18,300 0 27 May 2016
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory Sumio Watanabe 111 2,377 0 14 Apr 2010