2 papers
cs.LG2022
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand
Arec Jamgochian, Di Wu, Kunal Menda +2
Some real-world decision-making problems require making probabilistic forecasts over multiple steps at once. However, methods for probabilistic forecasting may fail to capture corr…
cs.AI2018
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
Di Wu, Xiujun Chen, Xun Yang +5
Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget co…