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Auction learning as a two-player game

International Conference on Learning Representations (ICLR), 2020

10 June 2020

Papers citing "Auction learning as a two-player game"

26 / 26 papers shown

Title
Universal Representation of Generalized Convex Functions and their Gradients Moeen Nehzati 68 0 0 30 Aug 2025
Deep Learning for Double Auction Jiayin Liu Chenglong Zhang 215 0 0 07 Apr 2025
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization Tonghan Wang Yanchen Jiang David C. Parkes 327 1 0 24 Feb 2025
Deep Reinforcement Learning for Sequential Combinatorial Auctions S. Ravindranath Zhe Feng Di Wang Manzil Zaheer Aranyak Mehta David C. Parkes 146 4 0 10 Jul 2024
Tracking solutions of time-varying variational inequalities Hédi Hadiji Sarah Sachs Cristóbal Guzmán 213 1 0 20 Jun 2024
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning Tonghan Wang Yanchen Jiang David C. Parkes 308 16 0 11 Jun 2024
Goal Recognition Design for General Behavioral Agents using Machine Learning Robert Kasumba Guanghui Yu Chien-Ju Ho Sarah Keren William Yeoh 277 3 0 03 Apr 2024
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method Zhijian Duan Haoran Sun Yichong Xia Siqiang Wang Zhilin Zhang Chuan Yu Jian Xu Bo Zheng Xiaotie Deng 177 0 0 19 Feb 2024
Optimal Automated Market Makers: Differentiable Economics and Strong Duality Michael J. Curry Zhou Fan David C. Parkes 160 3 0 14 Feb 2024
Advancing Ad Auction Realism: Practical Insights & Modeling Implications Ming Chen Sareh Nabi Marciano M. Siniscalchi 178 2 0 21 Jul 2023
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement LearningKnowledge Discovery and Data Mining (KDD), 2023 Haozhe Jasper Wang Chao Du Panyan Fang Li He Liangji Wang Bo Zheng 140 12 0 12 Jun 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction DesignNeural Information Processing Systems (NeurIPS), 2023 Zhijian Duan Haoran Sun Yurong Chen Xiaotie Deng 195 39 0 20 May 2023
Neural Auctions Compromise Bidder Information Alex Stein Avi Schwarzschild Michael J. Curry Tom Goldstein John P. Dickerson 162 1 0 28 Feb 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying GamesNeural Information Processing Systems (NeurIPS), 2023 Ioannis Anagnostides Ioannis Panageas Gabriele Farina Tuomas Sandholm 334 23 0 26 Jan 2023
Optimal-er Auctions through AttentionNeural Information Processing Systems (NeurIPS), 2022 Dmitry Ivanov Iskander Safiulin Igor Filippov Ksenia Balabaeva 403 39 0 26 Feb 2022
Learning to Mitigate AI Collusion on Economic PlatformsNeural Information Processing Systems (NeurIPS), 2022 Gianluca Brero N. Lepore Eric Mibuari David C. Parkes 241 16 0 15 Feb 2022
Differentiable Economics for Randomized Affine Maximizer AuctionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Michael J. Curry Tuomas Sandholm John P. Dickerson 224 36 0 06 Feb 2022
A Context-Integrated Transformer-Based Neural Network for Auction DesignInternational Conference on Machine Learning (ICML), 2022 Zhijian Duan Jin-Lin Tang Yutong Yin Zhe Feng Xiang Yan Manzil Zaheer Xiaotie Deng 276 37 0 29 Jan 2022
Learning Revenue-Maximizing Auctions With Differentiable MatchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 158 22 0 15 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce AdvertisingKnowledge Discovery and Data Mining (KDD), 2021 Xiangyu Liu Chuan Yu Zhilin Zhang Zhenzhe Zheng Yu Rong ... Dagui Chen Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu 167 79 0 07 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep LearningNeural Information Processing Systems (NeurIPS), 2021 Neehar Peri Michael J. Curry Samuel Dooley John P. Dickerson 162 38 0 06 Jun 2021
Online Learning Probabilistic Event Calculus Theories in Answer Set ProgrammingTheory and Practice of Logic Programming (TPLP), 2021 Nikos Katzouris A. Artikis George Giannakopoulos 83 1 0 31 Mar 2021
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning Kevin Kuo Anthony Ostuni Elizabeth Horishny Michael J. Curry Samuel Dooley Ping Yeh-Chiang Tom Goldstein John P. Dickerson 165 27 0 13 Oct 2020
Certifying Strategyproof Auction Networks Michael J. Curry Ping Yeh-Chiang Tom Goldstein John P. Dickerson 128 32 0 15 Jun 2020
A Permutation-Equivariant Neural Network Architecture For Auction DesignAAAI Conference on Artificial Intelligence (AAAI), 2020 Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 208 55 0 02 Mar 2020
Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsJournal of the ACM (JACM), 2017 Paul Dutting Zhe Feng Harikrishna Narasimhan David C. Parkes S. Ravindranath 469 52 0 12 Jun 2017