-
2025
Context-Based Dynamic Pricing with Separable Demand Models
Management Science -
2024
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
Management Science -
2024
Utility Fairness in Contextual Dynamic Pricing with Demand Learning
Management Science -
2024
How Generative AI Improves Supply Chain Management
Harvard Business Review -
2024
Efficient Cloud Server Deployment Under Demand Uncertainty
Manufacturing and Service Operations Management -
2024
Bayesian Mechanism Design for Blockchain Transaction Fee Allocation
Operations Research -
2023
Assortment Planning for Recommendations at Checkout under Inventory Constraints
To appear in Mathematics of Operations Research -
2023
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism
To appear in Management Science -
2023
Offline Planning and Online Learning under Recovering Rewards
Management Science -
2023
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
NeurIPS 2023 Spotlight (top 3%) -
2022
Design and Analysis of Switchback Experiments
To appear in Management Science -
2022
Estimating and Exploiting the Impact of Photo Layout: A Structural Approach
To appear in Management Science -
2022
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility
To appear in Operations Research -
2022
Phase Transitions in Bandits with Switching Constraints
To appear in Management Science -
2022
Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression
To appear in Management Science -
2022
Constructing Demand Curves from a Single Observation of Bundle Sales
To appear in WINE 2022 -
2022
Context-Based Dynamic Pricing with Partially Linear Demand Model
To appear in NeurIPS 2022 -
2022
Learning Mixed Multinomial Logits with Provable Guarantees
To appear in NeurIPS 2022 -
2022
A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits
To appear in NeurIPS 2022 -
2022
Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands
To appear in Management Science -
2022
Trading Safety Stock for Service Response Time in Inventory Positioning
To appear in Production and Operations Management Special Issue in celebrdation of POMs 30 years -
2022
Large-Scale Price Optimization for an Online Fashion Retailer
In Babich, V., Birge, J.R., Hilary, G. (eds) Innovative Technology at the Interface of Finance and Operations. -
2021
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
To appear in Mathematics of Operations Research -
2021
Dynamic Planning and Learning under Recovering Rewards
To appear in ICML 2021 -
2021
Online Assortment Optimization with Reusable Resources
To appear in Management Science -
2021
Meta Dynamic Pricing: Transfer Learning Across Experiments
To appear in Management Science -
2021
Is Model-Free Learning Nearly Optimal for Non-Stationary RL?
To appear in ICML 2021 -
2021
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning
To appear in Management Science -
2021
Reaping the Benefits of Bundling under High Production Costs
To appear in Proceedings of the 24nd International Conference on Artificial Intelligence and Statistics, AISTATS -
2021
Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models
To appear in Management Science -
2021
Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information
To appear in Management Science -
2021
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts
To appear in Management Science -
2021
Inventory Balancing with Online Learning
To appear in Management Science -
2021
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
To appear in Management Science -
2021
Distributionally Robust Linear and Discrete Optimization with Marginals
To appear in Operations Research -
2021
Online Pricing and Demand Learning with Censored Data
To appear in Management Science -
2020
Dynamic Inventory Allocation with Demand Learning for Seasonal Goods
Production and Operations Management(Special Issue to Honor Professor Hau Lee, Editor Christopher S Tang) -
2020
Hedging the Drift: Learning to Optimize Under Non-Stationarity
To appear in Management Science -
2020
Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses
To appear in Management Science -
2020
A Statistical Learning Approach to Personalization in Revenue Management
To appear in Management Science -
2020
On Policies for Single-leg Revenue Management with Limited Demand Information
To appear in Operations Research -
2020
Management Science: The Legacy of the Past and Challenge of the Future
To appear in Management Science -
2020
Dynamic Pricing (and Assortment) under a Static Calendar
To appear in Management Science -
2019
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios
To appear in Operations Research -
2019
Learning to Optimize under Non-Stationarity
In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019 -
2018
Constraint Generation for Two-Stage Robust Network Flow Problem
INFORMS Journal on Optimization1(1) -
2018
Disruption Risk Mitigation in Supply Chains – The Risk Exposure Index Revisited
Operations Research64(3) -
2018
Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models
Mathematics of Operations Research44(2) -
2018
Increasing Supply Chain Robustness Through Process Flexibility and Inventory
Production and Operations Management27(8) -
2018
Powering Retailers Digitization Through Analytics and Automation
Special Issue of International Journal of Production Research, dedicated to 55 Best Scholars in Production Research for the 55th Volume Anniversary of UPR56(1-2) -
2017
Dynamic Pricing and Demand Learning with Limited Price Experimentation
Operations Research65(6) -
2017
Uplift Modeling with Multiple Treatments and General Response Types
SIAM Data Mining 2017 -
2016
Analyzing Process Flexibility: A Distribution-free Approach with Partial Expectations
Operations Research Letters44(3) -
2016
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
Manufacturing and Service Operations Management18(1) -
2015
Optimal Expediting Policies for a Serial Inventory System with Stochastic Lead Time
Production and Operations Management24(10) -
2014
Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs
SIAM Journal on Discrete Mathematics28(4) -
2014
Stable and Coordinating Contracts for a Supply Chain with Multiple Risk-Averse Suppliers
Production and Operations Management23(3) -
2014
Communications Network Design Models
Handbook of Graph Theory, J.L. Gross, J. Yellen and P. Zhang eds., CRC Press -
2014
Dynamic inventory control with limited capital and short-term financing
Naval Research Logistics61(3) -
2014
OM Research: From Problem Driven to Data Driven Research
Manufacturing and Service Operations Management16(1) -
2014
From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions
Harvard Business ReviewJanuary-February 2014 -
2013
A Game Theoretic Model of International Influenza Vaccination Coordination
Management Science52 -
2013
On the Unimodality of the Profit Function of the Pricing Newsvendor
Production and Operations Management22 -
2013
Supplier-Buyer Negotiation Games: Equilibrium Conditions and Supply Chain Efficiency
Production and Operations Management22 -
2012
Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility
Operations Research60 -
2012
Performance Evaluation of Stochastic Multi-Echelon Inventory Systems: A Survey
Advances in Operations Research2012
(For ISI Citation, please note that some of Professor Simchi-Levi’s papers are reported in ISI knowledge under “Simchi-Levi D*” and others under “Simchilevi D*”.)
Visit David’s Google Scholar Page