Loss Functions for Discrete Contextual Pricing with Observational Data

18 November 2021

Papers citing "Loss Functions for Discrete Contextual Pricing with Observational Data"

9 / 9 papers shown

Title
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 24 3 0 13 Oct 2023
Probabilistic Conformal Prediction Using Conditional Random Samples Zhendong Wang Ruijiang Gao Mingzhang Yin Mingyuan Zhou David M. Blei TPM 34 22 0 14 Jun 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data Max Biggs OffRL 13 1 0 16 Feb 2022
Enhancing Counterfactual Classification via Self-Training Ruijiang Gao Max Biggs Wei-Ju Sun Ligong Han CML OffRL 19 6 0 08 Dec 2021
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 40 49 0 22 May 2021
Nonparametric Pricing Analytics with Customer Covariates Ningyuan Chen G. Gallego 48 39 0 03 May 2018
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 58 136 0 24 Sep 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 718 0 12 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015