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Machine Learning based Framework for Robust Price-Sensitivity Estimation
  with Application to Airline Pricing
v1v2 (latest)

Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing

4 May 2022
Ravi Kumar
Shahin Boluki
Karl Isler
Jonas Rauch
Darius Walczak
    OOD
ArXiv (abs)PDFHTML

Papers citing "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing"

14 / 14 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
86
2,529
0
16 May 2024
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and
  Multi-Period Optimization Approach
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
Junhao Hua
Ling Yan
Huan Xu
Cheng Yang
41
17
0
18 May 2021
Machine Learning Methods Economists Should Know About
Machine Learning Methods Economists Should Know About
Susan Athey
Guido Imbens
96
682
0
24 Mar 2019
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric
  Models
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models
Denis Nekipelov
Vira Semenova
Vasilis Syrgkanis
85
20
0
13 Jun 2018
Orthogonal Random Forest for Causal Inference
Orthogonal Random Forest for Causal Inference
Miruna Oprescu
Vasilis Syrgkanis
Zhiwei Steven Wu
CML
110
111
0
09 Jun 2018
Orthogonal Machine Learning: Power and Limitations
Orthogonal Machine Learning: Power and Limitations
Lester W. Mackey
Vasilis Syrgkanis
Ilias Zadik
204
42
0
01 Nov 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
228
749
0
24 May 2017
Generalized Random Forests
Generalized Random Forests
Susan Athey
J. Tibshirani
Stefan Wager
353
1,370
0
05 Oct 2016
Dynamic Pricing in High-dimensions
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
216
141
0
24 Sep 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAIVLM
200
3,675
0
24 Jun 2016
Dynamic Pricing with Demand Covariates
Dynamic Pricing with Demand Covariates
Sheng Qiang
Mohsen Bayati
149
117
0
25 Apr 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDaCML
395
2,498
0
14 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
1