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Found 3 papers, 1 papers with code
Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation
We develop a methodology to generate bid prices using historical booking data only.
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing
To address this concern, we propose a two-stage estimation methodology which makes the estimation of the price-sensitivity parameters robust to biases in the estimators of the nuisance parameters of the model.
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
Due to the massive volume of sensor data that must be sent in real-time, highly efficient data compression is elementary to prevent an overload of network infrastructure.
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