Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach
stat.ML, cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time
- Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
- Learning When to Restart: Nonstationary Newsvendor from Uncensored to Censored Demand
- Survey of Data-driven Newsvendor: Unified Analysis and Spectrum of Achievable Regrets
- The Data-Driven Censored Newsvendor Problem
- What is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor
- A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy
- Regret Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems: A General Optimization Perspective
- Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
- VC Theory for Inventory Policies
- Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
- Reinforcement Learning in MDPs with Information-Ordered Policies
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