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Publication search results
found 205 matches
- 2024
- Felix Brandt, Matthias Greger, Erel Segal-Halevi, Warut Suksompong:
Optimal Budget Aggregation with Single-Peaked Preferences. EC 2024: 49 - José Correa, Paul Gölz, Ulrike Schmidt-Kraepelin, Jamie Tucker-Foltz, Victor Verdugo:
Monotone Randomized Apportionment. EC 2024: 71 - Alireza Fallah, Michael Jordan:
Contract Design With Safety Inspections. EC 2024: 616-638 - Hu Fu, Pinyan Lu, Zhihao Gavin Tang, Hongxun Wu, Jinzhao Wu, Qianfan Zhang:
Sample-Based Matroid Prophet Inequalities. EC 2024: 781 - Yang Cai, Yingkai Li, Jinzhao Wu:
Algorithmic Information Disclosure in Optimal Auctions. EC 2024: 43 - Daniel Freund, Ilan Lobel, Jiayu (Kamessi) Zhao:
On the Supply of Autonomous Vehicles in Platforms. EC 2024: 2 - Aaron Roth, Mirah Shi:
Forecasting for Swap Regret for All Downstream Agents. EC 2024: 466-488 - Shipra Agrawal, Wei Tang:
Dynamic Pricing and Learning with Long-term Reference Effects. EC 2024: 72 - Thành Nguyen, Alexander Teytelboym:
Approximate Combinatorial Auctions with Budgets. EC 2024: 447 - Thành Nguyen, Alexander Teytelboym:
Equilibrium in Pseudomarkets. EC 2024: 1289 - Daniel Freund, Wentao Weng:
The Dedicated Docket in U.S. Immigration Courts: An analysis of fairness and efficiency properties. EC 2024: 346 - Sahil Singla, Yifan Wang:
Bandit Sequential Posted Pricing via Half-Concavity. EC 2024: 922-939 - Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck:
Eliciting Informative Text Evaluations with Large Language Models. EC 2024: 582-612 - Yurong Chen, Zhaohua Chen, Xiaotie Deng, Zhiyi Huang:
Are Bounded Contracts Learnable and Approximately Optimal? EC 2024: 315-344 - Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz:
Computing Voting Rules with Elicited Incomplete Votes. EC 2024: 941-963 - Tonghan Wang, Yanchen Jiang, David C. Parkes:
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. EC 2024: 1100 - Gagan Aggarwal, Ashwinkumar Badanidiyuru, Paul Duetting, Federico Fusco:
Selling Joint Ads: A Regret Minimization Perspective. EC 2024: 164-194 - Hannaneh Akrami, Jugal Garg, Eklavya Sharma, Setareh Taki:
Improving Approximation Guarantees for Maximin Share. EC 2024: 198 - David Almog, Romain Gauriot, Lionel Page, Daniel Martin:
AI Oversight and Human Mistakes: Evidence from Centre Court. EC 2024: 103-105 - Georgios Amanatidis, Aris Filos-Ratsikas, Alkmini Sgouritsa:
Pushing the Frontier on Approximate EFX Allocations. EC 2024: 1268-1286 - Guillermo Angeris, Tarun Chitra, Theo Diamandis, Kshitij Kulkarni, Alex Evans:
The Geometry of Constant Function Market Makers. EC 2024: 732 - Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider:
Pareto-Optimal Algorithms for Learning in Games. EC 2024: 490-510 - Gaurab Aryal, Charles Murry, Pallavi Pal, Arnab Palit:
Bundling Demand in K-12 Broadband Procurement. EC 2024: 857-858 - Pavel Atanasov, Ezra Karger, Philip Tetlock:
Full Accuracy Scoring Accelerates the Discovery of Skilled Forecasters. EC 2024: 1133 - Victor Augias, Daniel M. A. Barreto, Alexis Ghersengorin:
Redistribution through Market Segmentation. EC 2024: 1185-1186 - Victor Augias, Eduardo Perez-Richet:
Non-Market Screening with Investment. EC 2024: 45-46 - Moshe Babaioff, Amitai Frey, Noam Nisan:
Learning to Maximize Gains From Trade in Small Markets. EC 2024: 195 - Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu, Konstantin Zabarnyi:
Algorithmic Cheap Talk. EC 2024: 5-6 - Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu, Konstantin Zabarnyi:
Information Design in the Principal-Agent Problem. EC 2024: 669-670 - Jackie Baek, Atanas Dinev, Thodoris Lykouris:
Social Learning with Bounded Rationality: Negative Reviews Persist under Newest First. EC 2024: 375
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