A unifying geometric solution framework and complexity analysis for variational inequalities. - Thomas L. Magnanti; Georgia Perakis (Math. Program., 1995)

Averaging Schemes for Variational Inequalities and Systems of Equations. - Thomas L. Magnanti; Georgia Perakis (Math. Oper. Res., 1997)

The Orthogonality Theorem and the Strong-f-Monotonicity Condition for Variational Inequality Algorithms. - Thomas L. Magnanti; Georgia Perakis (SIAM J. Optim., 1997)

The Price of Anarchy when Costs Are Non-separable and Asymmetric. - Georgia Perakis (IPCO, 2004)

Solving variational inequality and fixed point problems by line searches and potential optimization. - Thomas L. Magnanti; Georgia Perakis (Math. Program., 2004)

A Robust SQP Method for Mathematical Programs with Linear Complementarity Constraints. - Xinwei Liu; Georgia Perakis; Jie Sun 001 (Comput. Optim. Appl., 2006)

Fluid dynamics models and their applications in transportation and pricing. - Soulaymane Kachani; Georgia Perakis (Eur. J. Oper. Res., 2006)

An Analytical Model for Traffic Delays and the Dynamic User Equilibrium Problem. - Georgia Perakis; Guillaume Roels (Oper. Res., 2006)

A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders. - Elodie Adida; Georgia Perakis (Math. Program., 2006)

Competitive Multi-period Pricing for Perishable Products: A Robust Optimization Approach. - Georgia Perakis; Anshul Sood (Math. Program., 2006)

Solving asymmetric variational inequalities via convex optimization. - Michele Aghassi; Dimitris Bertsimas; Georgia Perakis (Oper. Res. Lett., 2006)

The Price of Anarchy in Supply Chains: Quantifying the Efficiency of Price-Only Contracts. - Georgia Perakis; Guillaume Roels (Manag. Sci., 2007)

The "Price of Anarchy" Under Nonlinear and Asymmetric Costs. - Georgia Perakis (Math. Oper. Res., 2007)

Regret in the Newsvendor Model with Partial Information. - Georgia Perakis; Guillaume Roels (Oper. Res., 2008)

Profit loss in differentiated oligopolies. - Amr Farahat; Georgia Perakis (Oper. Res. Lett., 2009)

Loss of coordination in a competitive supply chain with pre-orders and endogenous pricing. - Georgia Perakis; Wei Sun 031 (BQGT, 2010)

Dynamic pricing and inventory control: robust vs. stochastic uncertainty models - a computational study. - Elodie Adida; Georgia Perakis (Ann. Oper. Res., 2010)

Dynamic Pricing and Inventory Control: Uncertainty and Competition. - Elodie Adida; Georgia Perakis (Oper. Res., 2010)

Robust Controls for Network Revenue Management. - Georgia Perakis; Guillaume Roels (Manuf. Serv. Oper. Manag., 2010)

A nonnegative extension of the affine demand function and equilibrium analysis for multiproduct price competition. - Amr Farahat; Georgia Perakis (Oper. Res. Lett., 2010)

Menu pricing competition and a common agency with informed principals. - Hamid Nazerzadeh; Georgia Perakis (EC, 2011)

Technical Note - A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products. - Amr Farahat; Georgia Perakis (Oper. Res., 2011)

On the efficiency of price competition. - Amr Farahat; Georgia Perakis (Oper. Res. Lett., 2011)

Generalized Quantity Competition for Multiple Products and Loss of Efficiency. - L. Jonathan Kluberg; Georgia Perakis (Oper. Res., 2012)

Price of anarchy for supply chains with partial positive externalities. - Georgia Perakis; Wei Sun 031 (Oper. Res. Lett., 2012)

The effect of supplier capacity on the supply chain profit. - Elodie Adida; Georgia Perakis (Ann. Oper. Res., 2014)

Business Analytics for Flexible Resource Allocation Under Random Emergencies. - Mallik Angalakudati; Siddharth Balwani; Jorge Calzada; Bikram Chatterjee; Georgia Perakis; Nicolas Raad; Joline Uichanco (Manag. Sci., 2014)

Efficiency Analysis of Cournot Competition in Service Industries with Congestion. - Georgia Perakis; Wei Sun 031 (Manag. Sci., 2014)

Efficient formulations for pricing under attraction demand models. - Philipp W. Keller; Retsef Levi; Georgia Perakis (Math. Program., 2014)

A continuous knapsack problem with separable convex utilities: Approximation algorithms and applications. - Retsef Levi; Georgia Perakis; Gonzalo Romero (Oper. Res. Lett., 2014)

The Data-Driven Newsvendor Problem: New Bounds and Insights. - Retsef Levi; Georgia Perakis; Joline Uichanco (Oper. Res., 2015)

The Impact of a Target on Newsvendor Decisions. - Lucy Gongtao Chen; Daniel Zhuoyu Long; Georgia Perakis (Manuf. Serv. Oper. Manag., 2015)

Pricing with Limited Knowledge of Demand. - Maxime C. Cohen; Georgia Perakis; Robert S. Pindyck (EC, 2016)

Technical Note - Nonlinear Pricing Competition with Private Capacity Information. - Hamid Nazerzadeh; Georgia Perakis (Oper. Res., 2016)

The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption. - Maxime C. Cohen; Ruben Lobel; Georgia Perakis (Manag. Sci., 2016)

The Impact of Linear Optimization on Promotion Planning. - Maxime C. Cohen; Ngai-Hang Z. Leung; Kiran Panchamgam; Georgia Perakis; Anthony Smith (Oper. Res., 2017)

On the Effectiveness of Uniform Subsidies in Increasing Market Consumption. - Retsef Levi; Georgia Perakis; Gonzalo Romero (Manag. Sci., 2017)

The MIT Leaders for Global Operations Program. - Georgia Perakis; Donald B. Rosenfield (Interfaces, 2018)

Near-Optimality of Uniform Copayments for Subsidies and Taxes Allocation Problems. - Retsef Levi; Georgia Perakis; Gonzalo Romero (Oper. Res., 2019)

Scheduling Promotion Vehicles to Boost Profits. - Lennart Baardman; Maxime C. Cohen; Kiran Panchamgam; Georgia Perakis; Danny Segev (Manag. Sci., 2019)

Consumer Subsidies with a Strategic Supplier: Commitment vs. Flexibility. - Jonathan Chemama; Maxime C. Cohen; Ruben Lobel; Georgia Perakis (Manag. Sci., 2019)

A Data-Driven Approach to Personalized Bundle Pricing and Recommendation. - Markus Ettl; Pavithra Harsha; Anna Papush; Georgia Perakis (Manuf. Serv. Oper. Manag., 2020)

Data Analytics in Operations Management: A Review. - Velibor V. Misic; Georgia Perakis (Manuf. Serv. Oper. Manag., 2020)

Promotion Optimization for Multiple Items in Supermarkets. - Maxime C. Cohen; Jeremy J. Kalas; Georgia Perakis (Manag. Sci., 2021)

A Simple Rule for Pricing with Limited Knowledge of Demand. - Maxime C. Cohen; Georgia Perakis; Robert S. Pindyck (Manag. Sci., 2021)

Statement of the Manufacturing & Service Operations Management Journal. - Georgia Perakis (Manuf. Serv. Oper. Manag., 2021)

Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling. - Georgia Perakis; Asterios Tsiourvas (CoRR, 2022)

Learning Personalized Product Recommendations with Customer Disengagement. - Hamsa Bastani; Pavithra Harsha; Georgia Perakis; Divya Singhvi (Manuf. Serv. Oper. Manag., 2022)

Distribution-Free Pricing. - Hongqiao Chen; Ming Hu 002; Georgia Perakis (Manuf. Serv. Oper. Manag., 2022)

On a Variation of Two-Part Tariff Pricing of Services: A Data-Driven Approach. - Georgia Perakis; Charles Thraves (Manuf. Serv. Oper. Manag., 2022)

End-to-End Learning for Optimization via Constraint-Enforcing Approximators. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Leo Quanz; Ioannis Spantidakis (AAAI, 2023)

Tightness of prescriptive tree-based mixed-integer optimization formulations. - Max Biggs; Georgia Perakis (CoRR, 2023)

The role of optimization in some recent advances in data-driven decision-making. - Lennart Baardman; Rares Cristian; Georgia Perakis; Divya Singhvi; Omar Skali Lami; Leann Thayaparan (Math. Program., 2023)

Robust Pricing and Production with Information Partitioning and Adaptation. - Georgia Perakis; Melvyn Sim; Qinshen Tang; Peng Xiong (Manag. Sci., 2023)

Detecting Customer Trends for Optimal Promotion Targeting. - Lennart Baardman; Setareh Borjian Boroujeni; Tamar Cohen-Hillel; Kiran Panchamgam; Georgia Perakis (Manuf. Serv. Oper. Manag., 2023)

High-Low Promotion Policies for Peak-End Demand Models. - Tamar Cohen-Hillel; Kiran Panchamgam; Georgia Perakis (Manag. Sci., 2023)

COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation. - Amine Bennouna; Joshua Joseph; David Nze-Ndong; Georgia Perakis; Divya Singhvi; Omar Skali Lami; Yannis Spantidakis; Leann Thayaparan; Asterios Tsiourvas (Manuf. Serv. Oper. Manag., 2023)

Ancillary Services in Targeted Advertising: From Prediction to Prescription. - Alison Borenstein; Ankit Mangal; Georgia Perakis; Stefan Poninghaus; Divya Singhvi; Omar Skali Lami; Jiong Wei Lua (Manuf. Serv. Oper. Manag., 2023)

Manifold-Aligned Counterfactual Explanations for Neural Networks. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis (AISTATS, 2024)

A Discretization Framework for Robust Contextual Stochastic Optimization. - Rares Cristian; Georgia Perakis (ICLR, 2024)

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis; Pin-Yu Chen; Yada Zhu (ICML, 2024)

Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks. - Asterios Tsiourvas; Georgia Perakis (ICML, 2024)

Heterogeneous Treatment Effects in Panel Data. - Retsef Levi; Elisabeth Paulson; Georgia Perakis; Emily Zhang (CoRR, 2024)

Inter-Series Transformer: Attending to Products in Time Series Forecasting. - Rares Cristian; Pavithra Harsha; Clemente Ocejo; Georgia Perakis; Brian Quanz; Ioannis Spantidakis; Hamza Zerhouni (CoRR, 2024)

Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes. - Georgia Perakis; Divya Singhvi (Oper. Res., 2024)

Introduction: Frontiers in Operations. - Georgia Perakis (Manuf. Serv. Oper. Manag., 2024)

Learning the Minimal Representation of a Continuous State-Space Markov Decision Process from Transition Data. - Amine Bennouna; Dessislava Pachamanova; Georgia Perakis; Omar Skali Lami (Manag. Sci., 2025)

CoRe: Coherency Regularization for Hierarchical Time Series. - Rares Cristian; Pavithra Harhsa; Georgia Perakis; Brian Quanz (CoRR, 2025)

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Quanz (CoRR, 2025)

Causal LLM Routing: End-to-End Regret Minimization from Observational Data. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis (CoRR, 2025)

Aligning Learning and Endogenous Decision-Making. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Quanz (CoRR, 2025)

Tight mixed-integer optimization formulations for prescriptive trees. - Max Biggs; Georgia Perakis (Mach. Learn., 2025)