01이 칸의 논문
- EXPRESS: The Online Election Campaign Planning Problem: Optimizing Election Campaign Strategies with Inaccurate Information
- EXPRESS: Robustness of Online Proportional Response in Stochastic Online Fisher Markets: a Decentralized Approach
- On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya–Watson Approach
- Online Facility Location: Running Stores on Wheels with Spatial Demand Learning
- It’s All in the Mix: Wasserstein Classification and Regression with Mixed Features
- Flexible Data Aggregation for Prediction and Decision Making with Contextual Information: Applications in Retailing
- The Dating Heuristic: A Provably Strong Matching Algorithm for Dating Platforms
- Data-Driven Stochastic Vehicle Routing Problems with Deadlines Under Decision-Dependent Travel Time
- Regularized Online Allocation Problems: Fairness and Beyond
- Deep Policy Iteration with Integer Programming for Inventory Management
- On the Equivalence and Performance of Distributionally Robust Optimization and Robust Satisficing Models
- Bridging Adversarial and Nonstationary Multi-Armed Bandit
- Multi-Armed Bandits with Endogenous Learning Curves: An Application to Split Liver Transplantation
- Human-Centric Order Picking: Performance Prediction and Robot Assignment at a Robotic Fulfillment Center
- A Rolling Recruitment Process Under Applicant Stochastic Departures
- Contextual Stochastic Optimization for Omnichannel Multicourier Order Fulfillment Under Delivery Time Uncertainty
- Robust Drone Delivery with Weather Information
- Minimax Regret Robust Screening with Moment Information
- Wasserstein Robust Classification with Fairness Constraints
- A Machine Learning Approach to Solve the E-commerce Box-Sizing Problem
- Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
- The framework of parametric and nonparametric operational data analytics
- Online Learning for Dual-Index Policies in Dual-Sourcing Systems
- Got (Optimal) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization
- Optimal Intraproject Learning
- On-Demand Delivery from Stores: Dynamic Dispatching and Routing with Random Demand
- Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
- Improving Match Rates in Dating Markets Through Assortment Optimization
- Online Personalized Assortment Optimization with High-Dimensional Customer Contextual Data
- Data‐driven storage operations: Cross‐commodity backtest and structured policies
02같은 주제, 다른 방법
- Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach
- Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach
- Goal Orientation for Fair Machine Learning Algorithms
- Competition in Optimal Stopping: Behavioral Insights
- Addressing distributional shifts in operations management: The case of order fulfillment in customized production
- Algorithmic fairness in business analytics: Directions for research and practice
- Adaptive Sequential Experiments with Unknown Information Arrival Processes
- Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items