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  • Home
  • Program
    • Main Technical Program
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Program

Poster Sessions

Tuesday July 7:

 

On Best-of-Both-Worlds Fairness via Sum-of-Variances Minimization Moshe Babaioff, Yuval Grofman (The Hebrew University of Jerusalem)
Information Environments as Equilibrium-Selection Devices: Evidence from 2.4 Million News Comments Avner Kantor (University of Haifa)
Learning vs. Optimizing Bidders in Budgeted Auctions Giannis Fikioris (Cornell University); Balasubramanian Sivan (Google Research); Éva Tardos (Cornell University)
On the Informativeness of Moments in Optimal Stopping José Correa (Universidad de Chile); Andrés Cristi (EPFL); Vasilis Livanos (Universidad de Chile); Victor Verdugo (PUC Chile); Jiechen Zhang (EPFL)
Dynamic Generation and Attribution of Revenues in a Video Platform Oscar Martínez Bonastre (Operations Research Center University Miguel Hernández de Elche, Spain)
Coarse Q-learning: Indifference, Indeterminacy, and Instability Aviman Satpathy (Paris School of Economics (PSE)); Philippe Jehiel (Paris School of Economics (PSE), University College London (UCL))
Near-Optimal Best-of-Both-Worlds Fairness for Few Agents Gefen Frosh (Hebrew University of Jerusalem); Moshe Babaioff (The Hebrew University)
In-Context Credit Assignment via the Core Keegan Harris (UC Berkeley); Siddharth Prasad (Toyota Technological Institute at Chicago); Asher Trockman (Google Research)
Optimal Auctions for Constrained Buyers with Unconstrained Budget Batya Berzack, Rotem Oshamn, Inbal Talgam-Cohen, Batya Berzack (Tel Aviv University)
Price of Anarchy of Algorithmic Monoculture Robert Kleinberg, Erald Sinanaj, Éva Tardos (Cornell University)
Strategic Fine-Tuning: Learning from Human Feedback under Incentive Misalignment Russell Li, Shi Feng, Safwan Hossain, Yiling Chen (Harvard University)
Job Matching with Unemployment Benefits Alice Mazzacurati (Paris School of Economics, École des hautes études en sciences sociales); Cyril Rouault (ENS Paris-Saclay, Université d’Angers)
Utilitarian Guarantees for the Method of Equal Shares Anton Baychkov (University of Warwick); Markus Brill (University of Oxford); Jannik Peters (Shanghai University of Finance and Economics)
How to Price Datasets Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma, Jiaxin Song (University of Illinois at Urbana-Champaign)
Proportional Representation for Rankings in Content Recommendation Alina Chadwick, Anson Kahng (University of Rochester); Kiet Nguyen (Northeastern University); Joseph Saber, Rebecca Salganik (University of Rochester)
Robust Resource Allocation via Competitive Subsidies David Lin, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos (Cornell University)
Stability in Combinatorial Markets with Side Payments Chiara Vanoli, Alexander Grosz (Technical University of Munich)
Do Not Trust the Auctioneer: Learning to Bid in Feedback-Manipulated Auctions Luigi Foscari (University of Milan); Matilde Tullii (CREST – ENSAE); Vianney Perchet (ENSAE, Criteo AI Lab, FairPlay joint team)
The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice Parinaz Naghizadeh (University of California, San Diego); Jingyan Wang (TTIC)
Stochastic Wage Suppression on Gig Platforms and How to Organize Against It Ana-Andreea Stoica (Max Planck Institute for Intelligent Systems, Tübingen and Tübingen AI Center); Celestine Mendler-Duenner (Max Planck Institute for Intelligent Systems, Tübingen, ELLIS Institute, Tübingen, and Tübingen AI Center); Moritz Hardt (Max Planck Institute for Intelligent Systems, Tübingen and Tübingen AI Center)
Fictitious Play in Markov Potential Games Onur Unlu, Eilyan Bitar, Francesca Parise (Cornell University)
Making a Nash Equilibrium Resilient to Coalitions Ivan Geffner (Utrecht University); Moshe Tennenholtz (Technion – Israel Institute of Technology)
Predicting Complementarities in Multi-Platform Ecosystems: A Graph Neural Network Approach Rainer Schmidt (Munich University of Applied Sciences); Rainer Alt (Leipzig University); ALFRED ZIMMERMANN (Herman Hollerith Center)
Hidden Roles Are as Expensive as Coloring Cristian J Palma Foster (Cornell University)
The Walrasian Prophet: Max-Min Fair Online Allocation Paul Duetting (Google); Michal Feldman, Mathieu Molina (Tel Aviv University)
Quantifying Theoretical AI Alignment Guarantees: Receiver-Utility Bounds in Bayesian Persuasion Eric Yachbes, Eva Tardos (Cornell University)
EF2X Exists for Four Agents Arash Ashuri (Max Planck Institute for Informatics); Vasilis Gkatzelis (Drexel University); Alkmini Sgouritsa (Athens University of Economics and Business)
Profit Maximization in Bilateral Trade against a Smooth Adversary Simone Di Gregorio (Sapienza University of Rome); Paul Duetting (Google); Federico Fusco (Sapienza University of Rome); Chris Schwiegelshohn (Aarhus University)
Competitive Information Design in Sequential Search Zhicheng Du (Renmin University of China); Hu Fu (Shanghai University of Finance and Economics); Ying Qin (Renmin University of China)
Epistemic Pairwise Maximin Share Michal Feldman, Amos Fiat, Yael Nissan, Tomasz Ponitka (Tel Aviv University)
Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models Sonal Srivastava, Ahmed Khwaja (Judge Business School, University of Cambridge)
Causal Multi-Task Demand Learning Varun Gupta (University of Utah); Vijay Kamble (University of Illinois Chicago)

 

Thursday July 9:

 

Strategic Candidacy in Generative AI Arenas Chris Hays, Rachel Li, Bailey Flanigan, Manish Raghavan (Massachusetts Institute of Technology)
When Should Platforms Recommend Items, Categories, or Both? Tianyi Zhu (University of Virginia); Xinjie Zhu (University of Iowa)
On Co-Staking: Multi-Token Collateral Under Volatile Pricing Roi Bar-Zur, Inbal Talgam-Cohen (Tel Aviv University)
Wisdom of the Crowd under Coalitional Strategic Voting: A Full-Spectrum Analysis Xiaotie Deng (Peking University); Qishen Han (Rutgers University); Grant Schoenebeck (University of Michigan); Biaoshuai Tao (Shanghai Jiao Tong University); Ying Wang (Peking University); Lirong Xia (Rutgers University)
Bundling Contracts for Multitask Agency Yael Tolkowsky, Inbal Talgam-Cohen (Tel Aviv University); Eden Saig (Technion – Israel Institute of Technology and California Institute of Technology)
Coordination Mechanisms with Partially Specified Probabilities Francesco Giordano (HEC Paris)
Private Learning in Bilateral Trade Simone Di Gregorio (Sapienza University of Rome); Federico Fusco (Sapienza); Stefano Leonardi (Sapienza University of Rome); Chris Schwiegelshohn (Aarhus University)
Second-Best Bilateral Trade is 1/2 Efficient Zhengyang Liu (Beijing Institute of Technology); Ying Qin, Zeyu Ren, Zihe Wang (Renmin University of China)
Information Elicitation by Ordinal Agreement Yiling Chen, Shi Feng (Harvard University); Grant Schoenebeck (University of Michigan); Fang-Yi Yu (George Mason University)
Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values John Dickerson (Mozilla AI); Hadi Hosseini, Samarth Khanna, Leona Pierce (Penn State University)
Perpetual Fully-Online Approximate Fairness Ido Kahana, Erel Segal-Halevi, Noam Hazon (Ariel University)
Mecha-nudges for Machines Giulio Frey, Kawin Ethayarajh (The University of Chicago Booth School of Business)
Phase Transitions in a Meta-Population Version of Schelling Segregation Model Victor Turmel (Université Paris Saclay); Marco Scarsini (Luiss University); Hlafo Alfie Mimun (LUISS Guido Carli); Alessio Oliviero (Sapienza)
On the Power and Limitations of Simple Contracts Michal Feldman, Shiri Ron, Shaul Rosner (Tel Aviv University)
Reasonably Reasoning AI Agents Avoid Game-Theoretic Failures in Zero-Shot, Provably Enoch Hyunwook Kang (University of Washington)
The Economics of Multilingual AI Daniel Bjorkegren, Akseli Palomaki (Columbia University)
What Responses Reveal: Learning, Manipulation, and Incentive Design Yurong Chen (Inria, Ecole Normale Supérieure, PSL Research University, France.)
Fair Allocation of Indivisible Goods: New Algorithms and Hardness Results Vignesh Viswanathan (University of Massachusetts, Amherst)
Reaching a Consensus in Predictive Loops Jiduan Wu (ETH Zurich & MPI-IS); Rediet Abebe, Celestine Mendler-Dünner (ELLIS Institute Tübingen)
Confusion Matrix Design for Downstream Decision-making Yiding Feng, Liuhan Qian (Hong Kong University of Science and Technology); Wei Tang (Chinese University of Hong Kong)
I Can Stop Whenever I Want: On The Effect of Friction, Vigilance, and Timers on Digital Self-Control Narun Raman (University of British Columbia); Sophie Greenwood, David Rand (Cornell University); Kevin Leyton-Brown (University of British Columbia); Jon Kleinberg (Cornell University)
Optimal Calibrated Signaling in Digital Auctions Zhicheng Du (Renmin University of China); Wei Tang (Chinese University of Hong Kong); Zihe Wang, Shuo Zhang (Renmin University of China)
Learning to Design Information Ce Li (Boston University); Tao Lin (Microsoft Research)
Qualifier Selection Mechanisms in Collegiate Cross Country Bo Waggoner (University of Colorado, Boulder); Elias Lindgren (University of Colorado Boulder)
Approximate Maximin Share with Subjective Divisibility: Beating the 1/2 Barrier Xiaohui Bei (Nanyang Technological University); Ding Ke, Bo Li, Fangxiao WANG (The Hong Kong Polytechnic University)
Short and Sweet: Computationally Efficient Collaborative Communication Through Indistinguishability and Coarsening Mark Bedaywi, Scott Emmons, Nika Haghtalab, Stuart Russell (UC Berkeley)
Equilibria of Round-Robin: Computational Hardness for Few Subadditive Agents Paul W. Goldberg, Alexandros Hollender, Giannis Tyrovolas (University of Oxford)
Token-Level Advertisement Hanbing Liu, Bowei Zhang (Renmin University); Changyuan Yu (Baidu Inc.); Yinyu Ye (Stanford University); Qi Qi (Renmin University)
Budget-constrained agentic large language models: Intention-based planning for costly tool use Hanbing Liu, Chunhao Tian, Nan An, Ziyuan Wang (Renmin University); Pinyan Lu (Shanghai University of Finance and Economics); Qi Qi (Renmin University)
Job Market: Learning to Coordinate Strategic and Predictive Agents Under Uncertainty Larkin Liu (Technical University of Munich)
Improved Parallel Algorithms for EF1 Allocations Kishen N Gowda (University of Maryland); D Ellis Hershkowitz, Richard Z Huang (Brown University); Gregory Kehne (Washington University in St. Louis)
An O(log log n)-Approximate Budget-Feasible Mechanism for Subadditive Valuations Rian Neogi, Kanstantsin Pashkovich, Chaitanya Swamy (University of Waterloo)

 

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