INFORMS Revenue Management and Pricing Section Conference

JHU Carey business school outside view during day

June 28-30, 2021

The Johns Hopkins Carey Business School is excited to host the 20th Annual INFORMS Revenue Management and Pricing (RM&P) Section Conference this summer. 

This event, which will be held virtually, is the premier forum for both academics and practitioners who are active in research and application in the fields of pricing analytics and revenue management.

Taking into account the feedback from our community members and the RMP Board, the 2021 RM&P Virtual Conference will be remote and live. We will share the Zoom links for the conference events with registrants as we get closer to the date. All speakers are expected to deliver their talks live, followed by live Q&A. Any speakers that are concerned about Internet connection or other technical issues may pre-record their presentations, and session chairs will play recordings live in case there is a problem.

Spotlight papers and abstracts



For regular members of INFORMS and RMP Section: Early Registration — $50; Late Registration — $60

For student members of INFORMS and RMP Section: Early Registration — $45; Late Registration — $55

Registration deadline for speakers/early registration deadline is May 31, 2021.

The deadline for all others is June 21, 2021.

Abstract Submission

To ensure the inclusion of more speakers, each attendee is limited to a maximum of one submission as a presenting author although they may co-author more than one submission.


In addition to general sessions, the conference will have “Spotlight Sessions,” in which selected speakers will present their full papers and invited discussants will comment subsequently.

For general sessions, please submit an abstract that should not exceed 2500 characters – approximately one page.

If you would like to be considered for a spotlight session, please submit a full paper that should not exceed 32 pages with 33 lines of text per page (1.5 spacing) and comply with Management Science formatting standard.

Abstract/full paper submission deadline is May 3, 2021.

Notification of acceptance for abstract submissions will be May 10, 2021.


The conference will feature two keynote speakers in a joint session.

Guillermo Gallego

Garrett van Ryzin

Conference Co-Chairs

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June 28, 2021 Schedule

8:45 – 9:00 a.m.

9:00 – 10:00 a.m.
Technical Session
Session MA01
Multiproduct Dynamic Pricing with Discrete Price Sets, Seetharama Chandrasekhar Manchiraju, Milind Dawande, and Ganesh Janakiraman

An Approximate Dynamic Programming Approach for Joint Overbooking and Capacity Control Decisions in Single-leg Air Cargo Revenue Management, Dhandabani Srinivasan, R K Amit, Atul Kumar Malik, and Shao Hung Goh

Dynamic Pricing and Incentive Design in The Airline Industry, Ruiting Zuo, Tinglong Dai, Jussi Keppo
Session MA02
Position Auctions with Endogenous Product Information: Why Live-streaming Advertising Is Thriving, Ying-Ju Chen, Guillermo Gallego, Pin Gao, and Yang Li

Marketplace Expansion at All Costs: Be Careful of Whom You Invite To Join, Wenchang Zhang, Wedad Jasmine Elmaghraby, and Ashish Kabra

Posted Price versus Auction Mechanisms in Freight Transportation Marketplaces, Sungwoo Kim, Xuan Wang, and He Wang
Session MA03
Omnichannel Assortment Optimization with Two-stage Decisions, Venus Lo

Assortment and Price Optimization Under the Threshold Utility Model, Guillermo Gallego, Zhuodong Tang, and Ruxian Wang

Assortment Optimization under Heteroscedastic Data, Zeyu Sun, Xiaobo Li, Selin Ahipasaoglu, and Yiliang Yuan
Session MA04
Satisfying Search and Algorithmic Price Competition, Chamsi Hssaine, Vijay Kamble, and Siddhartha Banerjee

Price Delegation with Learning Agents, Atalay Atasu, Dragos Florin Ciocan, and Antoine Desir

To Interfere or Not To Interfere: Information Revelation And Price-setting Incentives in A Multiagent Learning Environment, Hongfan Chen, John R. Birge, N. Bora Keskin, and Amy R. Ward
10:00 – 10:15 a.m. Break
10:15 – 11:15 a.m. Keynote: Guillermo Gallego and Garrett J. van Ryzin
11:15 – 11:30 a.m. Break
11:30 a.m. – 12:30 p.m.
Technical Session
Session MB01
Loot Box Pricing and Design, Ningyuan Chen, Adam Elmachtoub, Michael L. Hamilton, and Xiao Lei

Simultaneous or Delayed: New-movie Release Time on Over-The-Top Platforms, Soumyakanti Chakraborty, Sumanta Basu, Indranil Bose, Megha Sharma, and Raunak Joshi

Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata versus User-Centric, Saeed Alaei, Ali Makhdoumi, Azarakhsh Malekian, and Sasa Pekec
Session MB02
Optimal Assortment and Pricing Decisions for Vertically Differentiated Products, Prasenjit Mandal, Krishanu Rakshit, and Mrinmay Deb

Multiproduct Dynamic Pricing with Menu Costs: Impulsive Control, Dual Bounds, and Heuristics, Zhen Liu

Multiproduct Pricing: A Spectral Theory Approach, Alper Nakkas
Session MA03
RMP Data-Driven Research Challenge: Finalist Presentations 
Session MB04
Social Nudges Boost Content Production on Online Platforms: Field Experiments and Network Modeling, Zhiyu Zeng

Misinformation in Online News, Jiding Zhang, Ken Moon, and Senthil Veeraraghavan

Countering Congestion in Online Marketplaces: Evidence from a Quasi-experiment, Ashish Kabra and Jun Li
12:30 – 1:30 p.m. Break
1:30 – 3:00 p.m.
Spotlight Session
Spotlight Session 1
Optimal Pricing with a Single Point, Achraf Bahamou, Omar Besbes, and Amine Allouah—Discussant: Rene Caldentey

Data-driven Clustering and Feature-based Retail Electricity Pricing with Smart Meters, N. Bora Keskin, Yuexing Li, and Nur Sunar—Discussant: Srikanth Jagabathula
Spotlight Session 2
Price Discrimination with Fairness Constraints, Maxime Cohen, Adam Elmachtoub, and Xiao Lei—Discussant: Vivek Farias

Fair Dynamic Rationing, Vahideh Manshadi, Rad Niazadeh, and Scott Rodilitz—Discussant: Kostas Bimpikis
3:00 – 3:15 p.m. Break
3:15 – 4:15 p.m.
Technical Session
Session MC01
A Multinomial Logit Recommendation Model for Two-sided Choice, Yunhao Yan, Jingtong Zhao, and Van-Anh Truong

Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments, Omar El Housni and Huseyin Topaloglu

Choice Modeling and Assortment Optimization in the Presence of Context Effects, Reza Yousefi Maragheh, Xin Chen, James Mario Davis, and Jason Cho
Session MC02
Diamonds in the Rough: Leveraging Click Data To Spotlight Underrated Products, Sajad Modaresi, Seyedmorteza Emadi, and Vinayak Deshpande 

Inventory Record Inaccuracy Explains Price Rigidity in Perishable Groceries, Naveed Chehrazi, Robert E. Sanders, and Ioannis Stamatopoulos

Contingent Free Shipping: Drivers of Bubble Purchases, Sahar Hemmati, Wedad Elmaghraby, Ashish Kabra, and Nitish Jain
Session MC03
Online Resource Allocation with Time-flexible Customers, Negin Golrezaei and Evan Yao

Thompson Sampling in Vaccine Trial, Han Wu and Stefan Wager

Chasing Convex Bodies Optimally, Mark Sellke
Session MC04
Data-driven Newsvendor: Optimal Performance Across Data Sizes, Omar Besbes and Omar Mouchtaki

Sharing Newsboys, Setareh Farajollahzadeh and Ming Hu

Leveraging the Newsvendor for Inventory Distribution at a Large Fashion E-retailer with Depth and Capacity Constraints, Georgia Perakis, Divya Singhvi, and Ioannis Spantidakis
4:15 – 4:30 p.m. Break
4:30 – 5:50 p.m.
Technical Session
Session MD01
Dynamic Dispatch and Centralized Relocation of Cars in Ride-hailing Platforms, Baris Ata, Nasser Barjesteh, and Sunil Kumar

Operating Three-sided Marketplaces: Pricing, Spatial Staffing and Routing in Food Delivery Systems, Zhe Liu

Courier Dispatch in On-demand Delivery, Mingliu Chen and Ming Hu

The Structural Behavioral Model of Gig Economy Workers, Gad Allon, Maxime Cohen, Kenneth Moon, and Park Sinchaisri
Session MD02
Assortment Optimization under The Decision Forest Model, Yi-Chun Chen and Velibor Misic

Model-free Assortment Pricing with Transaction Data, Ningyuan Chen, Andre Augusto Cire, Ming Hu, and Saman Lagzi

Motem: Method for Optimizing Over Tree Ensemble Models, Setareh Borjian, Kiran V. Panchamgam, Georgia Perakis, Leann Thayaparan

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources, Vineet Goyal, Garud N. Iyengar, and Rajan Udwani
Session MD03
Fair Exploration via Axiomatic Bargaining, Jackie Baek and Vivek F. Farias

Batching and Optimal Multi-stage Bipartite Allocations, Rad Niazadeh and Yiding Feng

Dropping Standardized Testing for Admissions: Differential Variance and Access, Nikhil Garg, Hannah Li, and Faidra Monachou

In Which Random Matching Markets Does the Short Side Enjoy an Advantage? Yash Kanoria, Seungki Min, and Pengyu Qian
Session MD04
Word Embeddings for New Domains Via Group-Sparse Transfer Learning, Kan Xu, Xuanyi Zhao, Hamsa Sridhar Bastani, and Osbert Bastani

Smoothness-Adaptive Contextual Bandits, Ahmadreza Momeni, Yonatan Gur, and Stefan Wager

Learning Across a Network of Bandits, Kan Xu and Hamsa Sridhar Bastani Optimal Learning for Structured Bandits, Negin Golrezaei and Bart Paul Gerard Van Parys

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June 29, 2021 Schedule

8:45 – 9:00 a.m.

9:00 – 10:00 a.m.
Technical Session
Session TA01
Incentive-Compatible Assortment Optimization, Santiago Balseiro and Antoine Desir

Mechanism Design for Workforce Scheduling in On-demand Transportation, Omar Besbes, Vineet Goyal, Garud N. Iyengar, and Raghav Singal

Bundle Recommendation and Pricing: A Simple Mechanism and Its Optimization, Hailong Sun
Session TA02
Monetization of Loyalty Digital Currency: Mental Accounting and Income Effects on Spending, Freddy Lim, So Yeon Chun, Ville Satopaa

Machine Learning-based Alerting Mechanism for Airline RM Networks, Ang Li, Dennis Buitendijk, Yajun Ding, and Tristan Zaguirre

Bundling and Advance Sales: Theory and Empirics Using One-way vs Round-trip Tickets, Diego Escobari, Paan Jindapon, and Nicholas Rupp
Session TA03
Data-driven Robust Product Design under Uncertain Correlated Consumer Preferences, Guan Liu, Ying Wei, Yongzhen Li, and Xin Chen
Near-optimal Bayesian Online Assortment of Reusable Resources, YIding Feng, Rad Niazadeh, and Amin Saberi

New Bounds for the Cardinality Constrained Assortment Optimization Problem under the Nested Logit Model, Sumit Kunnumkal
Session TA04
Omnichannel Pricing Strategies with Quality Uncertainty, Jae Hyuck Park, and Dongwook Shin

Multi-item Online Order Fulfillment in a Two-layer Network, Yanyang (Alex) Zhao, Linwei Xin, and Xinshang Wang

On the Joint Inventory and Pricing Control for A One-warehouse Multi-store Problem with Lost Sales: Spiraling Phenomena and A Near-optimal Heuristic, Murray Lei, Sheng Liu, Stefanus Jasin, and Andrew Vakhutinsky
10:00 – 10:15 a.m. Break

10:15 – 11:45 a.m.
Practice Spotlight

Practice Spotlight Session
Customer Stories in Supply Chain Transformation, Dongdong Ge

Joint Assortment and Inventory Planning for Heavy Tailed Demand, Vineet Goyal

Retail Markdown Price Optimization and Inventory Allocation Under Demand Parameter Uncertainty, Andrew Vakhutinsky
11:45 – 12:45 a.m. Break
12:45 – 1:45 p.m.
Technical Session
Session TB01
Scoring a Touchdown with Variable Pricing: Evidence from a Quasi-Experiment in the NFL Ticket Markets, Hayri Alper Arslan, Necati Tereyagoglu, Ovunc Yilmaz

Impact of Price Markdown Framing on Product Returns, Sahar Hemmati, Wedad Elmaghraby, and Ozge Sahin

The Winner's Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from Ebay, Ernan Haruvy, Meisam Hejazi Nia, Özalp Özer, and A. Serdar Simsek
Session TB02
Autonomous Vehicle Market Design, Zhen Lian and Garrett J. van Ryzin
Autonomous Vehicles in Ride-hailing and the Threat of Spatial Inequalities, Francisco Castro, Jian Gao, and Sebastien Martin

Facilitating Mobility through Subscription Contracts: Evidence from Emerging Economy, Neha Sharma, Milind Sohoni, and Achal Bassamboo
Session TB03
Feature-based Market Segmentation and Pricing, Michael L. Hamilton

Centralized versus Decentralized Pricing Controls for Dynamic Matching Platforms, Omer Saritac, Ali Aouad, and Chiwei Yan

Price Discovery and Efficiency in Waiting Lists: A Connection to Stochastic Gradient Descent, Itai Ashlagi, Jacob Leshno, Pengyu Qian, and Amin Saberi
Session TB04
Dynamic Assortment Personalization under Linear Preferences, Sajad Modaresi, Denis Saure, and Fernando Bernstein

A General Framework for Resource Constrained Revenue Management with Demand Learning and Large Action Space, Sentao Miao, Yining Wang, and Jiawei Zhang

Diffusion Approximations for a Class of Sequential Testing Problems, Rene A. Caldentey and Victor Araman
1:45 – 2:00 p.m. Break
2:00 – 3:30 p.m.
Spotlight Session
Spotlight Session 3
Design and Analysis of Switchback Experiments, Iavor Bojinov, David Simchi-Levi, and Jinglong Zhao—Discussant: Bob Phillips

Near-optimal Experimental Design for Networks: Independent Block Randomization, Chen Chen, Ozan Candogan, and Rad Niazadeh—Discussant: Gabriel Weintraub
Spotlight Session 4
Privacy-Preserving Personalized Revenue Management, Murray Lei, Sentao Miao, and Ruslan Momot—Discussant: Gah-Yi Ban

Data Tracking under Competition, Kostas Bimpikis, Ilan Morgenstern, and Daniela Saban—Discussant: Itay Fainmesser
3:30 – 3:45 p.m. Break
3:45 – 5:05 p.m. Technical Session Session TC01
Multi-purchase Behavior: Modeling and Optimization, Deeksha Sinha, Theja Tulabandhula, and Prasoon Patidar

Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack, Jiashuo Jiang, Will Ma, and Jiawei Zhang

Bundle Promotion Optimization in Scale, Ozge Sahin and Ali Fattahi
Revenue Management with Product Retirement and Customer Selection, Adam Elmachtoub, Vineet Goyal, and Harsh Tarak Sheth
Session TC02
Larger Firms Pay More in The Gig Economy, Zhen Lian, Sebastien Martin, and Garrett J. van Ryzin

Share or Solo? Individual and Social Choices in Ride-hailing, Ming Hu, Jianfu Wang, and Hengda Wen

Should Gig Platforms Decentralize Dispute Resolution? Wee Kiat Lee and Yao Cui
Minimum Wage Regulation in Ride-hailing Platforms: Unintended Equity Consequences, Harish Guda and Ashish Kabra
Session TC03
Product-based Approximate Linear Programs for Network Revenue Management, Saied Samiedaluie, Dan Zhang, and Rui Zhang

Online Stochastic Optimization under Wasserstein-based Non-stationarity, Jiashuo Jiang, Xiaocheng Li, and Jiawei Zhang

Assign-to-seat: Dynamic Capacity Control for Selling Train Tickets, Feng Zhu, Shaoxuan Liu, Rowan Wang, and Zizhuo Wang

Network Inventory Management: Approximate Optimality in Large-Scale Systems, Deniz Akturk
Session TC04
Offline and Online Learning from Optimal Actions, Omar Besbes, Yuri Fonseca, and Ilan Lobel
Lobel Pricing and Ranking under a Cascade Model of Consumer Review Browsing, Jingtong Zhao, Van-Anh Truong, Xin Pan, and Jie Song

Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization, Negin Golrezaei, Rad Niazadeh, Joshua Wang, Fransisca Susan, and Ashwinkumar Badanidiyuru Varadaraja

Constant Regret Re-solving Heuristics for Price-based Revenue Management, Yining Wang, and He Wang

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June 30, 2021 Schedule

8:45 – 9:00 a.m.

9:00 – 10:00 a.m.
Technical Session
Session WA01
Operations Management under Consumer Choice Models with Multiple Purchases, Shujie Luan

Product Price, Quality and Service Decisions under Consumer Choice Models, Ruxian Wang, Chenxu Ke, and Shiliang Cui

Optimal Discriminatory Pricing and Introduction Timing of Improving Technologies, Ian Kash, Peter Key, and Spyros Zoumpoulis
Session WA02
Personalized Assortment Optimization under Consumer Choice Models with Local Network Effects, Zizhuo Wang and Tong Xie

To Pay or Not To Pay: Targeting Referral Rewards in The Presence of Voluntary Word-of-mouth Diffusion, Shatian Wang and Van-Anh Truong

How Much Should You Pay for Network Knowledge? Mohamed Mostagir and James Siderius
Session MA03
Omnichannel Assortment Optimization with Two-stage Decisions, Venus Lo Assortment and Price Optimization Under the Threshold Utility Model, Guillermo Gallego, Zhuodong Tang, and Ruxian Wang

Assortment Optimization under Heteroscedastic Data, Zeyu Sun, Xiaobo Li, Selin Ahipasaoglu, and Yiliang Yuan
Session WA04
Online Advertisement Allocation in The Presence of Customer Choices, Xiaolong Li, Ying Rong, Renyu Zhang, and Huan Zheng

Risk-averse Revenue Management Using Mean-variance and Mean-Semivariance Optimization, Rainer Schlosser and Jochen Goensch

Convex Optimization for Bundle Size Pricing Problem, Xiaobo Li, Hailong Sun, and Chung-Piaw Teo

10:00 – 10:15 a.m.

10:15 – 11:45 a.m. Spotlight Session Spotlight Session 5
The Use of Binary Choice Forests To Model And Estimate Discrete Choices, Ningyuan Chen, Guillermo Gallego, Zhuodong Tang,—Discussant: Aydin Alptekinoglu

Extended Sampled Tree Ensembles for Classification and Regression In Revenue Management, Omar Skali Lami, Georgia Perakis, Divya Singhvi—Discussant: Vineet Goyal
Spotlight Session 6
Online Assortment Optimization for Two-sided Matching Platforms, Ali Aouad and Daniela Saban—Discussant: Van-Anh Truong

Online Assortment Optimization With Reusable Resources, Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang—Discussant: Rad Niazadeh

11:45 a.m. – 12:45 p.m.

12:45 – 2:15 p.m.
Spotlight Session
Spotlight Session 7
ntertemporal Pricing with Resellers: An Empirical Study of Product Drops, Dayton T. Steele, Seyed Morteza Emadi, and Saravanan Kesavan—Discussant: Necati Tereyagoglu

Damned If You Buy, Damned If You Wait: An Empirical Investigation of Customer Regret Under Markdown Pricing and Its Implications To Retailing, Ozalp Ozer, Inki Sul, and A. Serdar Simsek—Discussant: Marcelo Olivares
Spotlight Session 8
Mechanism Design Under Approximate Incentive Compatibility, Francisco Castro, Omar Besbes, and Santiago Balseiro—Discussant: Azarakhsh Malekian
Two-stage Stochastic Matching and Pricing with Applications to Ride Hailing, Yiding Feng, Rad Niazadeh, and Amin Saberi—Discussant: Sasa Pekec

2:15 – 2:30 p.m.

2:30 – 3:30 p.m.
Technical Session
Session WB01
Private vs. Pooled Transportation: Customer Preference and Congestion Management, Kashish Arora, Fanyin Zheng, and Karan Girotra

Lyft and Uber IPOs: Before and After, Maxime Cohen and Dmitry Mitrofanov

Skilled Worker Turnover on On-demand Service Platforms: Evidence and Prescriptions from At-home Caregiver Markets, Wenchang Zhang and Kenneth Moon
Session WB02
A Tale of Timescales: Surge Pricing and Dynamic Matching for Hotspot Demand Shock in Ride-hailing Networks, Philipp Afèche, Zhe Liu, and Costis Maglaras

Matching Impatient and Heterogeneous Demand and Supply, Angelos Aveklouris, Levi DeValve, Amy R. Ward, and Xiaofan Wu

Near Optimal Control in Ride Hailing Platforms with Strategic Servers, Sushil Varma, Francisco Castro, and Siva Theja Maguluri  
Session WB03
Deep Learning for Visual Advertising on Digital Platforms, N. Bora Keskin, Yuexing Li, Shaoxuan Liu, and Jing-Sheng Jeannette Song

Intertemporal Pricing via Nonparametric Estimation: Integrating Reference Effects and Consumer Heterogeneity, Hansheng Jiang, Junyu Cao, and Zuo-Jun Max Shen

Ancillary Services in Targeted Advertising: From Prediction and Prescription, Alison Rose Ann Borenstein, Ankit Mangal, Georgia Perakis, Stefan Poninghaus, Divya Singhvi, Omar Skali Lami, and Jiong Wei Lua
Session WB04
Multi-Armed Bandits with Cost Subsidy, Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, and Vashist Avadhanula
Markdown Pricing under Unknown Demand, Su Jia, Andrew A. Li, and R. Ravi

Restaurant Ranking in Food Delivery Platforms with Unknown Demand, Fatemeh (Niusha) Navidi, Rene A. Caldentey, Ozan Candogan, and Rad Niazadeh

3:30 – 3:45 p.m.

3:45 – 4:45 p.m.
Technical Session
Session WC01
Learning New Auction Format by Bidders in Internet Display Ad Auctions, Shumpei Goke, Ralph Mastromonaco, Samuel Seljan, and Gabriel Weintraub

Bidding and Pricing in Budget and ROI Constrained Markets, Jason Cheuk Nam Liang, Negin Golrezaei, and Patrick Jaillet

Engineering Social Learning: Information Design of Time-locked Sales Campaigns for Online Platforms, Can Kucukgul, Ozalp Ozer, and Shouqiang Wang
Session WC02
Pricing with Samples, Amine Allouah, Achraf Bahamou, and Omar Besbes
Solving High Dimensional Challengers through Projection in Fast Fashion Prediction, Tamar Cohen-Hillel, Georgia Perakis, Yiannis Spantidakis, and Leann Thayaparan

Taming Wild Price Fluctuations: Monotone Algorithms for Stochastic Convex Optimization, Jad Salem, Swati Gupta, and Vijay Kamble
Session WC03
Learning Product Rankings Robust to Fake Users, Negin Golrezaei, Vahideh Manshadi, Jon Schneider, and Shreyas Sekar

Sequential Submodular Maximization and Applications to Ranking an Assortment of Products, Arash Asadpour, Rad Niazadeh, Amin Saberi, and Ali Shameli

Learning Customer Preferences with Abandonment, Austin Palmer and Van-Anh Truong
Session WC04
The Markov Chain Choice Model on A Real Interval, Jonas Rauch

Dynamic Iteratively Reconfigurable Clustering Algorithm for The Discrete Choice Hotel Room Booking Model, Sanghoon Cho and Andrew Vakhutinsky

Optimal Upselling of Hotel Rooms, Natalia Kosilova and Aydin Alptekinoglu

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