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.
If you need help with questions related to registration or abstract submission, please contact Cassie McKay: email@example.com
If you need help with questions related to Zoom access, please contact Sarah Tyc: firstname.lastname@example.org
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.
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.
- Goker Aydin, PhD, Johns Hopkins Carey Business School
- Ozge Sahin, PhD, Johns Hopkins Carey Business School
- Ruxian Wang, PhD, Johns Hopkins Carey Business School
June 28, 2021 Schedule (all times are US Eastern Time)
8:45 – 9:00 a.m.
|9:00 – 10:00 a.m.
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
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
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
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.
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
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
RMP Data-Driven Research Challenge Toward a Thriving Two-Sided Ecosystem: The Ripple Effect of User Reactions on Content Creation, Zining Wang and Yanwen Wang
Riding the Gravy 'Trend'? Bandwagon Effect vs. Conspicuous Adoption of Music in User-Generated Content, Abhishek Deshmane and Xabier Barriola
Churning while Learning: Maximizing User Engagement in a Recommendation System, Michael L. Hamilton and Raghav Singal
Adaptive Data Acquisition for Personalized Recommender Systems with Optimality Guarantees on Short-Form Video Platforms, Junyu Cao and Yan Leng
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 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.
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
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
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
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.
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
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
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
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
June 29, 2021 Schedule (all times are US Eastern Time)
8:45 – 9:00 a.m.
|9:00 – 10:00 a.m.
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
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
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
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 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.
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
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
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
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 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
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
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
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
Session WA03 Calibrating Sales
June 30, 2021 Schedule (all times are US Eastern Time)
8:45 – 9:00 a.m.
|9:00 – 10:00 a.m.
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
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
Calibrating Sales Forecast in a Pandemic Using Online Non-Parametric Regression Model, David Simchi-Levi, Rui Sun, Michelle Wu, and Ruihao Zhu Data-Driven Asset Selling, Lingxiu Dong and Phil (Puping) Jiang
The Effectiveness of Single Price Change in Learning and Earning via Sequential Estimation, Jeunghyun Kim, Dongyuan Zhan, and Chihoon Lee
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 7
Intertemporal 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.
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
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
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
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.
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
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
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
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