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Online Decisions with (Biased) Offline Data

https://doi.org/10.2139/ssrn.5350921
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10107-017-1172-1openalex-snapshot
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
inferredcites →https://doi.org/10.1016/j.ejor.2005.01.041openalex-snapshot
Dynamic pricing with real-time demand learning
inferredcites →https://doi.org/10.1016/j.orl.2004.08.003openalex-snapshot
A practical inventory control policy using operational statistics
inferredcites →https://doi.org/10.1016/j.orl.2007.04.010openalex-snapshot
Solving operational statistics via a Bayesian analysis
inferredcites →https://doi.org/10.1016/j.sorms.2015.03.001openalex-snapshot
Dynamic pricing and learning: Historical origins, current research, and new directions
inferredcites →https://doi.org/10.1016/s0927-0507(03)10006-0openalex-snapshot
Monte Carlo Sampling Methods
inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot
Finite-time Analysis of the Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1057/9781137024381_3openalex-snapshot
A Min-Max Solution of an Inventory Problem
inferredcites →https://doi.org/10.1080/00401706.1979.10489815openalex-snapshot
Ridge Regression and James-Stein Estimation: Review and Comments
inferredcites →https://doi.org/10.1093/biomet/ass064openalex-snapshot
Interval estimation of population means under unknown but bounded probabilities of sample selection
inferredcites →https://doi.org/10.1145/3292500.3330746openalex-snapshot
Dynamic Pricing for Airline Ancillaries with Customer Context
inferredcites →https://doi.org/10.1214/aoms/1177728174openalex-snapshot
Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
inferredcites →https://doi.org/10.1214/aos/1176346585openalex-snapshot
Empirical Distributions in Selection Bias Models
inferredcites →https://doi.org/10.1214/aos/1176350948openalex-snapshot
Large Sample Theory of Empirical Distributions in Biased Sampling Models
inferredcites →https://doi.org/10.1287/mnsc.1120.1654openalex-snapshot
On Implications of Demand Censoring in the Newsvendor Problem
inferredcites →https://doi.org/10.1287/mnsc.2017.2773openalex-snapshot
Asymmetry and Ambiguity in Newsvendor Models
inferredcites →https://doi.org/10.1287/mnsc.2019.3288openalex-snapshot
Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times
inferredcites →https://doi.org/10.1287/mnsc.2019.3485openalex-snapshot
Feature-Based Dynamic Pricing
inferredcites →https://doi.org/10.1287/mnsc.2020.3678openalex-snapshot
From Data to Decisions: Distributionally Robust Optimization Is Optimal
inferredcites →https://doi.org/10.1287/mnsc.2020.3680openalex-snapshot
Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity
inferredcites →https://doi.org/10.1287/mnsc.2021.4234openalex-snapshot
Dynamic Pricing with Demand Learning and Reference Effects
inferredcites →https://doi.org/10.1287/mnsc.2022.4322openalex-snapshot
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
inferredcites →https://doi.org/10.1287/mnsc.2023.02068openalex-snapshot
From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms
inferredcites →https://doi.org/10.1287/mnsc.2023.4678openalex-snapshot
Distributionally Robust Batch Contextual Bandits
inferredcites →https://doi.org/10.1287/mnsc.2023.4725openalex-snapshot
How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time
inferredcites →https://doi.org/10.1287/mnsc.31.9.1150openalex-snapshot
Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution
inferredcites →https://doi.org/10.1287/mnsc.45.3.346openalex-snapshot
Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales
inferredcites →https://doi.org/10.1287/mnsc.47.8.1101.10231openalex-snapshot
An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution
inferredcites →https://doi.org/10.1287/mnsc.6.3.231openalex-snapshot
Dynamic Inventory Policy with Varying Stochastic Demands
inferredcites →https://doi.org/10.1287/moor.1070.0272openalex-snapshot
Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models
inferredcites →https://doi.org/10.1287/moor.1080.0355openalex-snapshot
A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand
inferredcites →https://doi.org/10.1287/moor.1100.0446openalex-snapshot
Linearly Parameterized Bandits
inferredcites →https://doi.org/10.1287/moor.2020.1084openalex-snapshot
Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand
inferredcites →https://doi.org/10.1287/msom.1070.0203openalex-snapshot
Retail Inventory Management When Records Are Inaccurate
inferredcites →https://doi.org/10.1287/opre.1070.0385openalex-snapshot
Relative Entropy, Exponential Utility, and Robust Dynamic Pricing
inferredcites →https://doi.org/10.1287/opre.1070.0393openalex-snapshot
Dynamic Pricing Strategies with Reference Effects
inferredcites →https://doi.org/10.1287/opre.1070.0486openalex-snapshot
Regret in the Newsvendor Model with Partial Information
inferredcites →https://doi.org/10.1287/opre.1080.0553openalex-snapshot
Analysis of Perishable-Inventory Systems with Censored Demand Data
inferredcites →https://doi.org/10.1287/opre.1080.0640openalex-snapshot
Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms
inferredcites →https://doi.org/10.1287/opre.1090.0725openalex-snapshot
Dynamic Pricing for Nonperishable Products with Demand Learning
inferredcites →https://doi.org/10.1287/opre.1090.0746openalex-snapshot
Robust Approximation to Multiperiod Inventory Management
inferredcites →https://doi.org/10.1287/opre.1100.0867openalex-snapshot
On the Minimax Complexity of Pricing in a Changing Environment
inferredcites →https://doi.org/10.1287/opre.1100.0906openalex-snapshot
Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator
inferredcites →https://doi.org/10.1287/opre.2014.1294openalex-snapshot
Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies
inferredcites →https://doi.org/10.1287/opre.2014.1343openalex-snapshot
Initial Shipment Decisions for New Products at Zara
inferredcites →https://doi.org/10.1287/opre.2015.1422openalex-snapshot
The Data-Driven Newsvendor Problem: New Bounds and Insights
inferredcites →https://doi.org/10.1287/opre.2015.1454openalex-snapshot
The Newsvendor Under Demand Ambiguity: Combining Data with Moment and Tail Information
inferredcites →https://doi.org/10.1287/opre.2015.1474openalex-snapshot
Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand
inferredcites →https://doi.org/10.1287/opre.2018.1757openalex-snapshot
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.1287/opre.2021.2204openalex-snapshot
Data-Driven Pricing for a New Product
inferredcites →https://doi.org/10.1287/opre.2022.2307openalex-snapshot
Technical Note—Data-Driven Newsvendor Problem: Performance of the Sample Average Approximation
inferredcites →https://doi.org/10.1287/opre.2022.2383openalex-snapshot
Wasserstein Distributionally Robust Optimization and Variation Regularization
inferredcites →https://doi.org/10.1287/opre.2023.0070openalex-snapshot
Technical Note—Data-Driven Profit Estimation Error in the Newsvendor Model
inferredcites →https://doi.org/10.1287/opre.50.3.517.7752openalex-snapshot
The Censored Newsvendor and the Optimal Acquisition of Information
inferredcites →https://doi.org/10.1609/aaai.v37i9.26345openalex-snapshot
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
inferredcites →https://doi.org/10.2139/ssrn.2559116openalex-snapshot
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.3471501openalex-snapshot
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
inferredcites →https://doi.org/10.2139/ssrn.4140928openalex-snapshot
Beyond IID: data-driven decision making in heterogeneous environments
inferredcites →https://doi.org/10.2139/ssrn.5261068openalex-snapshot
Feature-Based Dynamic Pricing with Online Learning and Offline Data
inferredcites →https://doi.org/10.25740/yy357wd4029openalex-snapshot
Learning from a Biased Sample
inferredcites →https://doi.org/10.48550/arxiv.1209.2388openalex-snapshot
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
inferredcites →https://doi.org/10.48550/arxiv.1712.06050openalex-snapshot
Wasserstein Distributionally Robust Optimization and Variation Regularization
inferredcites →https://doi.org/10.48550/arxiv.2005.01643openalex-snapshot
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
inferredcites →https://doi.org/10.48550/arxiv.2206.09642openalex-snapshot
Beyond IID: data-driven decision-making in heterogeneous environments
inferredcites →https://doi.org/10.48550/arxiv.2207.09560openalex-snapshot
Holistic Robust Data-Driven Decisions
inferredcites →https://doi.org/10.48550/arxiv.2405.02594openalex-snapshot
Online Bandits with (Biased) Offline Data: Adaptive Learning under Distribution Mismatch
inferredcites →https://doi.org/10.48550/arxiv.2410.14008openalex-snapshot
From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective
inferredcites →https://doi.org/10.48550/arxiv.2502.08259openalex-snapshot
Balancing optimism and pessimism in offline-to-online learning
inferredcites →https://doi.org/10.5555/3322706.3322715openalex-snapshot
Dynamic pricing in high-dimensions
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