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https://doi.org/10.2139/ssrn.4619018

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inferredcites →https://doi.org/10.1007/978-0-387-78902-6openalex-extracted
Retail supply chain management : quantitative models and empirical studies
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Ensemble Machine Learning: Methods and Applications
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The Elements of Joint Learning and Optimization in Operations Management
inferredcites →https://doi.org/10.1007/s10107-016-1057-8openalex-extracted
Iteration complexity analysis of block coordinate descent methods
inferredcites →https://doi.org/10.1007/s10957-016-0867-4openalex-extracted
Inexact Coordinate Descent: Complexity and Preconditioning
inferredcites →https://doi.org/10.1016/j.ejor.2006.12.004openalex-extracted
Application of machine learning techniques for supply chain demand forecasting
inferredcites →https://doi.org/10.1016/j.ejor.2019.04.043openalex-extracted
A data-driven newsvendor problem: From data to decision
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-extracted
Convex Optimization
inferredcites →https://doi.org/10.1017/cbo9781139020893openalex-extracted
Nonparametric Estimation under Shape Constraints
inferredcites →https://doi.org/10.1023/a:1017501703105openalex-extracted
Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
inferredcites →https://doi.org/10.1038/sj.jors.2600425openalex-extracted
Nonlinear Programming
inferredcites →https://doi.org/10.1080/01621459.2022.2128359openalex-extracted
Policy Optimization Using Semiparametric Models for Dynamic Pricing
inferredcites →https://doi.org/10.1080/07408170208928882openalex-extracted
SeDFAM: semiconductor demand forecast accuracy model
inferredcites →https://doi.org/10.1109/tsp.2019.2959240openalex-extracted
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
inferredcites →https://doi.org/10.1111/poms.12836openalex-extracted
How Research in Production and Operations Management May Evolve in the Era of Big Data
inferredcites →https://doi.org/10.1111/poms.13783openalex-extracted
Context‐based dynamic pricing with online clustering
inferredcites →https://doi.org/10.1111/poms.13868openalex-extracted
Developing Operations Management Data Analytics
inferredcites →https://doi.org/10.1145/2699439openalex-extracted
Learning without Concentration
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-extracted
XGBoost
inferredcites →https://doi.org/10.1177/002224379503200104openalex-extracted
Determinants of Store-Level Price Elasticity
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-extracted
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1214/aos/1017939142openalex-extracted
Information-theoretic determination of minimax rates of convergence
inferredcites →https://doi.org/10.1287/inte.2022.1145openalex-extracted
Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations
inferredcites →https://doi.org/10.1287/mnsc.1030.0147openalex-extracted
Revenue Management Under a General Discrete Choice Model of Consumer Behavior
inferredcites →https://doi.org/10.1287/mnsc.2014.1931openalex-extracted
Constrained Assortment Optimization for the Nested Logit Model
inferredcites →https://doi.org/10.1287/mnsc.2014.2031openalex-extracted
On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning
inferredcites →https://doi.org/10.1287/mnsc.2018.3194openalex-extracted
Dynamic Learning and Pricing with Model Misspecification
inferredcites →https://doi.org/10.1287/mnsc.2018.3253openalex-extracted
From Predictive to Prescriptive Analytics
inferredcites →https://doi.org/10.1287/mnsc.2019.3485openalex-extracted
Feature-Based Dynamic Pricing
inferredcites →https://doi.org/10.1287/mnsc.2020.3772openalex-extracted
A Statistical Learning Approach to Personalization in Revenue Management
inferredcites →https://doi.org/10.1287/mnsc.2020.3819openalex-extracted
Multi-Modal Dynamic Pricing
inferredcites →https://doi.org/10.1287/mnsc.2020.3922openalex-extracted
Smart “Predict, then Optimize”
inferredcites →https://doi.org/10.1287/mnsc.2021.4011openalex-extracted
Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment
inferredcites →https://doi.org/10.1287/mnsc.2021.4212openalex-extracted
Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models
inferredcites →https://doi.org/10.1287/mnsc.2022.4322openalex-extracted
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
inferredcites →https://doi.org/10.1287/mnsc.2022.4382openalex-extracted
Offline Pricing and Demand Learning with Censored Data
inferredcites →https://doi.org/10.1287/mnsc.2023.4925openalex-extracted
Privacy-Preserving Personalized Revenue Management
inferredcites →https://doi.org/10.1287/mnsc.2023.4963openalex-extracted
Dynamic Pricing with External Information and Inventory Constraint
inferredcites →https://doi.org/10.1287/mnsc.2023.4969openalex-extracted
Calibrating Sales Forecasts in a Pandemic Using Competitive Online Nonparametric Regression
inferredcites →https://doi.org/10.1287/mnsc.36.4.490openalex-extracted
Evaluating Forecast Performance in an Inventory Control System
inferredcites →https://doi.org/10.1287/moor.1070.0272openalex-extracted
Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models
inferredcites →https://doi.org/10.1287/moor.14.2.303openalex-extracted
Isotonic Median Regression: A Linear Programming Approach
inferredcites →https://doi.org/10.1287/moor.2018.0940openalex-extracted
Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models
inferredcites →https://doi.org/10.1287/msom.2013.0459openalex-extracted
Dynamic Inventory–Pricing Control Under Backorder: Demand Estimation and Policy Optimization
inferredcites →https://doi.org/10.1287/msom.2015.0561openalex-extracted
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
inferredcites →https://doi.org/10.1287/msom.2021.1065openalex-extracted
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
inferredcites →https://doi.org/10.1287/opre.1100.0866openalex-extracted
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
inferredcites →https://doi.org/10.1287/opre.1120.1057openalex-extracted
Dynamic Pricing Under a General Parametric Choice Model
inferredcites →https://doi.org/10.1287/opre.2014.1294openalex-extracted
Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies
inferredcites →https://doi.org/10.1287/opre.2015.1422openalex-extracted
The Data-Driven Newsvendor Problem: New Bounds and Insights
inferredcites →https://doi.org/10.1287/opre.2017.1648openalex-extracted
Supply and Demand Functions in Inventory Models
inferredcites →https://doi.org/10.1287/opre.2018.1757openalex-extracted
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.1287/opre.2020.2016openalex-extracted
Nonparametric Pricing Analytics with Customer Covariates
inferredcites →https://doi.org/10.1287/opre.2021.2127openalex-extracted
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection
inferredcites →https://doi.org/10.1287/opre.2022.2389openalex-extracted
Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing
inferredcites →https://doi.org/10.2139/ssrn.1983274openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.1995648openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.2559116openalex-extracted
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.2765257openalex-extracted
Dynamic Pricing with Demand Covariates
inferredcites →https://doi.org/10.2139/ssrn.3173267openalex-extracted
Dynamic Joint Assortment and Pricing Optimization With Demand Learning
inferredcites →https://doi.org/10.2139/ssrn.3354358openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3360622openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3401188openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3458662openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.3704446openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.4140550openalex-extracted
Context-Based Dynamic Pricing with Separable Demand Models
inferredcites →https://doi.org/10.2139/ssrn.4324972openalex-extracted
Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions
inferredcites →https://doi.org/10.2139/ssrn.4400555openalex-extracted
The Framework of Parametric and Nonparametric Operational Data Analytics (ODA)
inferredcites →https://doi.org/10.2139/ssrn.4490516openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.4643942openalex-extracted
Pricing Analytics with Shape-Restricted Demands
inferredcites →https://doi.org/10.2307/1402630openalex-extracted
Statistical Inference under Order Restrictions (The Theory and Application of Isotonic Regression)
inferredcites →https://doi.org/10.48550/arxiv.1502.06134openalex-extracted
Learning with Square Loss: Localization through Offset Rademacher Complexity
inferredcites →https://doi.org/10.48550/arxiv.1607.02793openalex-extracted
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
inferredcites →https://doi.org/10.48550/arxiv.1706.09516openalex-extracted
CatBoost: unbiased boosting with categorical features
inferredcites →https://doi.org/10.48550/arxiv.1805.01136openalex-extracted
Nonparametric Pricing Analytics with Customer Covariates
inferredcites →https://doi.org/10.48550/arxiv.1902.06199openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2006.04046openalex-extracted
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies
inferredcites →https://doi.org/10.48550/arxiv.2302.12736openalex-extracted
Balanced Off-Policy Evaluation for Personalized Pricing
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