ACM Conference on Economics and Computation

CORE rank

CORE rank (raw)

Fields of research

Artificial Intelligence · Theory of Computation

Papers indexed

114

1994–2019

Best Artificial Intelligence conferences Best Theory of Computation conferences

Papers per year

1994106 peak2019

EC papers

114 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2019	Formal Barriers to Longest-Chain Proof-of-Stake Protocols.	Jonah Brown-Cohen, Arvind Narayanan, Alexandros Psomas, S. Matthew Weinberg
2019	High-Multiplicity Fair Allocation: Lenstra Empowered by N-fold Integer Programming.	Robert Bredereck, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier
2019	Communication Complexity of Cake Cutting.	Simina Brnzei, Noam Nisan
2019	Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors.	John R. Birge, Yifan Feng, N. Bora Keskin, Adam Schultz
2019	Computing Core-Stable Outcomes in Combinatorial Exchanges with Financially Constrained Bidders.	Martin Bichler, Stefan Waldherr
2019	Pandora's Problem with Nonobligatory Inspection.	Hedyeh Beyhaghi, Robert Kleinberg
2019	Static Pricing: Universal Guarantees for Reusable Resources.	Omar Besbes, Adam N. Elmachtoub, Yunjie Sun
2019	Spatial Capacity Planning.	Omar Besbes, Francisco Castro, Ilan Lobel
2019	No Stratification Without Representation.	Gerdus Benad, Paul Glz, Ariel D. Procaccia
2019	Regression Equilibrium.	Omer Ben-Porat, Moshe Tennenholtz
2019	Optimal Strategies of Blotto Games: Beyond Convexity.	Soheil Behnezhad, Avrim Blum, Mahsa Derakhshan, Mohammad Taghi Hajiaghayi, Christos H. Papadimitriou, Saeed Seddighin
2019	Centralized Admissions for Engineering Colleges in India.	Surender Baswana, Partha Pratim Chakrabarti, Sharat Chandran, Yashodhan Kanoria, Utkarsh Patange
2019	Equitable Voting Rules.	Laurent Bartholdi, Wade Hann-Caruthers, Maya Josyula, Omer Tamuz, Leeat Yariv
2019	Probabilistic Verification in Mechanism Design.	Ian Ball, Deniz Kattwinkel
2019	Estimating Approximate Incentive Compatibility.	Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
2019	Social Learning and the Innkeeper's Challenge.	Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz
2019	Playing on a Level Field: Sincere and Sophisticated Players in the Boston Mechanism with a Coarse Priority Structure.	Moshe Babaioff, Yannai A. Gonczarowski, Assaf Romm
2019	Edge Weighted Online Windowed Matching.	Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley
2019	The Implications of Pricing on Social Learning.	Itai Arieli, Moran Koren, Rann Smorodinsky
2019	Robust Non-Bayesian Social Learning.	Itai Arieli, Yakov Babichenko, Segev Shlomov
2019	Naive Learning Through Probability Matching.	Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank
2019	The Perils of Exploration under Competition: A Computational Modeling Approach.	Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu
2019	Nearly Optimal Pricing Algorithms for Production Constrained and Laminar Bayesian Selection.	Nima Anari, Rad Niazadeh, Amin Saberi, Ali Shameli
2019	Budget-Feasible Mechanism Design for Non-Monotone Submodular Objectives: Offline and Online.	Georgios Amanatidis, Pieter Kleer, Guido Schfer
2019	Sample-Based Optimal Pricing.	Amine Allouah, Omar Besbes

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Comparable venues

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