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

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

28 January 2021
Sander van Cranenburgh
S. Wang
A. Vij
Francisco Câmara Pereira
J. Walker
ArXivPDFHTML

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

5 / 5 papers shown
Title
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
84
320
0
22 Feb 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
61
400
0
19 Oct 2020
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste
  Heterogeneity with Flexibility and Interpretability
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability
Yafei Han
F. Pereira
M. Ben-Akiva
C. Zegras
42
43
0
03 Feb 2020
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
72
3,005
0
19 Oct 2017
TensorFlow: A system for large-scale machine learning
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
276
18,300
0
27 May 2016
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