Posters

EC’22 will host virtual poster sessions from June 28th to July 1st (the same week as tutorials).

Each day from Tuesday to Friday, the main poster session will from 11:15am ET to 12:00am ET. There will also be smaller alternative sessions from 9:15pm ET to 10:00pm ET on Thursday and on Friday.

The poster session co-chairs are Nick Arnosti and Matt Weinberg. The list of posters by session follows.

11:15am – 12:00pm ET, Tuesday 6/28

  • Sponsor poster from Google
  • Conditional Strategy Equilibrium
    Lorenzo Bastianello, Universite Paris 2 Pantheon-Assas, and Mehmet S. Ismail (presenter), King’s College London
  • A Foundational Framework for the Specification and Verification of Mechanism Design
    Pierre Jouvelot, Mines Paris, PSL University, France (presenter), Emilio J. Gallego Arias, Inria Paris, France
  • Algorithms Using Local Graph Features to Predict Epidemics
    Yeganeh Alimohammadi (presenter) – Stanford, Christian Borgs, Amin Saberi- Stanford
  • Online Learning in Fisher Markets with Unknown Agent Preferences
    Devansh Jalota (presenter): Stanford University, Yinyu Ye: Stanford University
  • Query Efficient Prophet Inequality with Unknown I.I.D. Distributions
    Bo Li (The Hong Kong Polytechnic University), Xiaowei Wu (University of Macau), Yutong Wu (University of Texas at Austin) (Presenter)
  • Visualization Equilibrium
    Paula Kayongo – Northwestern University (Presenter), Jason Hartline – Northwestern University, and Jessica Hullman – Northwestern University
  • Incentivizing Participation in Clinical Trials
    Yingkai Li, Northwestern University, Aleksandrs Slivkins, Microsoft Research (presenter)
  • Content Filtering with Inattentive Information Consumers
    Justin Grana (Presenter), Alex Slivkins, Nicole Immorlica, Brendan Lucier, James Bono, Ian Ball
  • Fair Assortment Planning
    Qinyi Chen, MIT (presenter), Negin Golrezaei, MIT, Fransisca Susan, MIT, Edy Baskoro, Institut Teknologi Bandung
  • Non-Strategic Structural Inference (for Initial Play)
    Daniel Chui, University of Alberta (presenter), James Wright, University of Alberta, Jason Hartline, Northwestern University
  • Eliciting Thinking Hierarchy without a Prior
    Yuqing Kong(Peking University), Yunqi Li(Peking University)(presenter), Yubo Zhang(Peking University), Zhihuan Huang(Peking University), Jinzhao Wu(Peking University)
  • The Effect Of Platform Dynamic Predatory Pricing Competition On Sellers
    Gang GUO, Department of Economics, National University of Singapore, Singapore (presenter), Fabio miessi sanches, BI Norwegian Business School, Norway, Srisuma Tang Sorawoot, Department of Economics, National University of Singapore, Singapore
  • What is Best for Students, Numerical Scores or Letter Grades?
    Evi Micha, University of Toronto, Shreyas Sekar, University of Toronto, Nisarg Shah, University of Toronto
  • High-Effort Crowds: Limited Liability via Tournaments
    Yichi Zhang, University of Michigan (presenter), Grant Schoenebeck, University of Michigan
  • Stable Matching: Choosing Which Proposals to Make
    Ishan Agarwal, Richard Cole

9:15pm – 10:00pm ET, Tuesday 6/28

  • Online Learning in Fisher Markets with Unknown Agent Preferences
    Devansh Jalota (presenter): Stanford University, Yinyu Ye: Stanford University
  • Visualization Equilibrium
    Paula Kayongo – Northwestern University (Presenter), Jason Hartline – Northwestern University, and Jessica Hullman – Northwestern University
  • What is Best for Students, Numerical Scores or Letter Grades?
    Evi Micha, University of Toronto, Shreyas Sekar, University of Toronto, Nisarg Shah, University of Toronto
  • Stable Matching: Choosing Which Proposals to Make
    Ishan Agarwal, Richard Cole
  • The Effect Of Platform Dynamic Predatory Pricing Competition On Sellers
    1. Gang GUO, Department of Economics, National University of Singapore, Singapore (presenter), Fabio miessi sanches, BI Norwegian Business School, Norway, Srisuma Tang Sorawoot, Department of Economics, National University of Singapore, Singapore
  • Welfare-guided Seeding with Time-constrained Data Collection
    Carlos Hurtado| PhD student ( University of Pittsburgh (presenter), M. Amin Rahimian| Assistant professor| University of Pittsburgh, Md Sanzeed, Anwar (University of Michigan), Dean Eckles(MIT)
  • Better Peer Grading through Bayesian Inference
    Hedayat Zarkoob, University of British Columbia (presenter),Greg d’Eon, University of British Columbia, Lena Podina, University of Waterloo, Kevin Leyton-Brown, University of British Columbia
  • Measurement Integrity in Peer Prediction: A Peer Assessment Case Study
    Noah Burrell (presenter) and Grant Schoenebeck, University of Michigan

11:15am – 12:00pm ET, Wednesday 6/29

  • Buy-Many Mechanisms for Many Unit-Demand Buyers
    Shuchi Chawla, Rojin Rezvan, Yifeng Teng, Christos Tzamos
  • Differentiable Economics for Randomized Affine Maximizer Auctions
    Michael Curry, University of Maryland (presenter), Tuomas Sandholm, Carnegie Mellon University, Optimized Markets Inc., Strategic Machine Inc., Strategy Robots Inc., John Dickerson, University of Maryland, Arthur AI
  • Fictitious play in zero-sum stochastic games
    Muhammed O. Sayin (presenter), Francesca Parise and Asuman Ozdaglar
  • Nonstationary Dual Averaging and Online Fair Allocation
    Luofeng Liao (presenter), Yuan Gao, and Christian Kroer, all with Columbia University, IEOR
  • Optimal Multi-stage Configuration Allocation with Applications to Video Advertising
    Yiding Feng, Microsoft Research New England (presenter), Rad Niazadeh, University of Chicago Booth School of Business
  • Online Learning with Knapsacks: the Best of Both Worlds
    Matteo Castiglioni (Politecnico di Milano), Andrea Celli (Bocconi University) (presenter), Christian Kroer (Columbia University)
  • Persuading Risk-Conscious Agents: A Geometric Approach
    Jerry Anunrojwong (Columbia University, presenter), Krishnamurthy Iyer (University of Minnesota), David Lingenbrink (Cornell -> Bloomberg)
  • Risk Aversion In Learning Algorithms and an Application To Recommendation Systems
    Andreas Haupt (presenter), Aroon Narayanan
  • Sequential Sampling Beyond Decisions? A Normative Model of Decision Confidence
    Rastislav Rehák, CERGE-EI (presenter)
  • Pay to (Not) Play: Monetizing Impatience in Mobile Games
    Taylor Lundy (presenter), Narun Raman, Kevin Leyton-Brown, Hu Fu
  • Dynamic Learning in Large Matching Markets
    Anand Kalvit (presenter) and Assaf Zeevi, Columbia University
  • Learning to Collude (Job Market Paper)
    Clemens Possnig (Presenter)
  • Asymptotic welfare performance of Boston assignment algorithms
    Geoffrey Pritchard and Mark C. Wilson (presenter)
  • Selling Information in Competitive Environments
    Alessandro Bonatti (MIT), Munther Dahleh (MIT), Thibaut Horel (MIT, presenter), Amir Nouripour (MIT)
  • Job Market
    Bhaskar Ray Chaudhury (Univesity of Illinois at Urbana Champaign)
  • High-Welfare Matching Markets via Descending Price
    Robin Bowers (presenter), Bo Waggoner

11:15am – 12:00pm ET, Thursday 6/30

  • Eliminating Waste in Cadaveric Organ Allocation
    Peng Shi (USC Marshall), Junxiong Yin (USC Marshall, presenter)
  • Active Learning for Non-Parametric Choice Models
    Fransisca Susan, MIT Sloan School of Management, Operations Management (presenter), Negin Golrezaei, MIT Sloan School of Management, Operations Management, Ehsan Emamjomeh-Zadeh, Meta Platforms, Inc., David Kempe, University of Southern California, Los Angeles
  • Constant Inapproximability for PPA
    Argyrios Deligkas – Royal Holloway University of London, John Fearnley – University of Liverpool, Alexandros Hollender – University of Oxford, Themistoklis Melissourgos (presenter) – University of Essex
  • Insightful Mining Equilibria
    Mengqian Zhang, Yuhao Li, Jichen Li, Chaozhe Kong, Xiaotie Deng
  • Headline Curiosity
    Jingyi Qiu, University of Michigan (presenter), Russell Golman, Carnegie Mellon University
  • Optimal Private Payoff Manipulation against Commitment in Extensive-form games
    Yurong Chen (presenter) from Peking University, Xiaotie Deng from Peking University, Yuhao Li from Columbia University
  • Learning to Mitigate AI Collusion on Economic Platforms
    Gianluca Brero (presenter), Nicolas Lepore, Eric Mibuari, David C. Parkes
  • Job Market — Economics and Computation in Distributed Systems
    Matheus Venturyne Xavier Ferreira, Harvard University
  • Auctions between Regret-Minimizing Agents
    Yoav Kolumbus (Hebrew University) (presenter) and Noam Nisan (Hebrew University)
  • Welfare-guided Seeding with Time-constrained Data Collection
    Carlos Hurtado| PhD student ( University of Pittsburgh (presenter), M. Amin Rahimian| Assistant professor| University of Pittsburgh, Md Sanzeed, Anwar (University of Michigan), Dean Eckles(MIT)
  • Better Peer Grading through Bayesian Inference
    Hedayat Zarkoob, University of British Columbia (presenter),Greg d’Eon, University of British Columbia, Lena Podina, University of Waterloo, Kevin Leyton-Brown, University of British Columbia
  • How to Delegate the Choice of a Project
    Ece Teoman (presenter) – Penn State, Vasundhara Mallick – Penn State
  • Prophet Inequalities via the Expected Competitive Ratio.
    Tomer Ezra (Sapienza University Rome), Stefano Leonardi (Sapienza University Rome), Rebecca Reiffenhauser (Sapienza University Rome), Matteo Russo (Sapienza University Rome/ETH Zurich, presenter), Alexandros Tsigonias-Dimitriadis (TUM).
  • Towards Data Auctions with Externalities
    Anish Agarwal (MIT), Munther Dahleh (MIT), Thibaut Horel (MIT), Maryann Rui (MIT, presenter)
  • Measurement Integrity in Peer Prediction: A Peer Assessment Case Study
    Noah Burrell (presenter) and Grant Schoenebeck, University of Michigan

11:15am – 12:00pm ET, Friday 7/1

  • On the Hardness of Dominant Strategy Mechanism Design
    Shahar Dobzinski, Weizmann Institute of Science, Shiri Ron, Weizmann Institute of Science (presenter), Jan Vondrak, Stanford University
  • Efficient decentralized multi-agent learning in asymmetric queuing systems
    Daniel Freund (MIT Sloan), Thodoris Lykouris (MIT Sloan), Wentao Weng (MIT EECS, presenter)
  • Competitive Information Design for Pandora’s Box
    Bolin Ding — Alibaba Group, Yiding Feng — Microsoft Research, Chien-Ju Ho — Washington University in St. Louis, Wei Tang — Washington University in St. Louis (presenter), Haifeng Xu — University of Virginia
  • Monopolistic Screening with Buyers Who Sample
    Nicolas Pastrian (presenter)
  • Job Market
    Maxim Senkov, CERGE-EI
  • Fairness in the Autobidding World with Machine-learned Advice
    Yuan Deng, Google, Negin Golrezaei, MIT Sloan School of Management, Patrick Jaillet, MIT EECS, Jason Cheuk Nam Liang, MIT Operations Research Center (presenter), Vahab Mirrokni, Google
  • Job Market
    Fedor Sandomirskiy, postdoc at Caltech
  • Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence
    Jason Gaitonde, Cornell University (presenter), Yingkai Li, Northwestern University, Bar Light, Microsoft Research NYC, Brendan Lucier, Microsoft Research New England, Aleksandrs Slivkins, Microsoft Research NYC
  • Fair Recommendation of Comments in Online Discussions
    Manuel Wuthrich (presenter), Ariel Procaccia, Jamie Tucker-Foltz, Daniel Halpern, Gregory Kehne, David Parkes — all authors work at Harvard University
  • Digital Gold: Who benefits from Selling their personal data online? (Job Market Paper)
    George Charlson (Presenter), University of Cambridge
  • Can Gender-Blind Algorithmic Pricing Eliminate Gender Gap? (Job Market Paper)
    Ozge Demirci, University of Warwick (Presenter)
  • Exploration and Incentives in Reinforcement Learning
    Max Simchowitz and Aleksandrs Slivkins (presenter)
  • End-to-end Auditing of Decision Pipelines
    Benjamin Laufer, Cornell Tech (presenter), Emma Pierson, Cornell Tech, Nikhil Garg, Cornell Tech
  • The Impact of Connectivity on the Production and Diffusion of Knowledge
    Gustavo Manso (UC Berkeley, Haas School of Business), Farzad Pourbabaee (Caltech HSS, presenter)
  • Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters
    Coral Haggiag – presenter, Sigal Oren, Ella Segev. Ben-Gurion University of the Negev
  • Optimal Stopping with Multi-Dimensional Comparative Loss Aversion
    Linda Cai (presenter), Josh Gardner, Princeton University

9:15pm – 10:00pm ET, Friday 7/1

  • Monopolistic Screening with Buyers Who Sample
    Nicolas Pastrian (presenter)
  • Fairness in the Autobidding World with Machine-learned Advice
    Yuan Deng, Google, Negin Golrezaei, MIT Sloan School of Management, Patrick Jaillet, MIT EECS, Jason Cheuk Nam Liang, MIT Operations Research Center (presenter), Vahab Mirrokni, Google
  • Optimal Stopping with Multi-Dimensional Comparative Loss Aversion
    Linda Cai (presenter), Josh Gardner, Princeton University
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