Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions

25 February 2020

Vahab Mirrokni

Papers citing "Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions"

41 / 41 papers shown

Title
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games Michael Albert Quinlan Dawkins Minbiao Han Haifeng Xu 21 0 0 22 Apr 2025
Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions Daniele Bracale Moulinath Banerjee Cong Shi Yuekai Sun 47 0 0 20 Mar 2025
Parameter-Adaptive Dynamic Pricing Xueping Gong Jiheng Zhang 38 0 0 02 Mar 2025
Dynamic Pricing in the Linear Valuation Model using Shape Constraints Daniele Bracale Moulinath Banerjee Yuekai Sun Kevin Stoll Salam Turki 72 1 0 09 Feb 2025
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting Ahmed Ben Yahmed Clément Calauzènes Vianney Perchet 30 0 0 28 Jan 2025
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning Joon Suk Huh Kirthevasan Kandasamy 15 1 0 06 Jul 2024
Online Stackelberg Optimization via Nonlinear Control William Brown Christos Papadimitriou Tim Roughgarden OffRL 35 1 0 27 Jun 2024
Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models Xueping Gong Jiheng Zhang 39 0 0 24 Jun 2024
Stochastic Bandits with ReLU Neural Networks Kan Xu Hamsa Bastani Surbhi Goel Osbert Bastani 32 0 0 12 May 2024
Learning in Repeated Multi-Unit Pay-As-Bid Auctions Rigel Galgana Negin Golrezaei 29 1 0 27 Jul 2023
Contextual Dynamic Pricing with Strategic Buyers Pang-Tung Liu Zhuoran Yang Zhaoran Wang W. Sun 24 4 0 08 Jul 2023
Multi-Platform Budget Management in Ad Markets with Non-IC Auctions Fransisca Susan Negin Golrezaei Okke Schrijvers 14 8 0 12 Jun 2023
Learning and Collusion in Multi-unit Auctions Simina Brânzei Mahsa Derakhshan Negin Golrezaei Yanjun Han 16 3 0 27 May 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction Design Zhijian Duan Haoran Sun Yurong Chen Xiaotie Deng 24 28 0 20 May 2023
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model Rashmi Ranjan Bhuyan Adel Javanmard Sungchul Kim Gourab Mukherjee Ryan A. Rossi Tong Yu Handong Zhao 13 0 0 28 Mar 2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model Siyu Chen Jibang Wu Yifan Wu Zhuoran Yang 34 6 0 15 Mar 2023
Learning to Manipulate a Commitment Optimizer Yurong Chen Xiaotie Deng Jiarui Gan Yuhao Li 41 2 0 23 Feb 2023
Multi-channel Autobidding with Budget and ROI Constraints Yuan Deng Negin Golrezaei Patrick Jaillet Jason Cheuk Nam Liang Vahab Mirrokni 29 24 0 03 Feb 2023
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design Rui Ai Boxiang Lyu Zhaoran Wang Zhuoran Yang Michael I. Jordan 26 3 0 19 Oct 2022
Online Allocation and Learning in the Presence of Strategic Agents Steven Yin Shipra Agrawal A. Zeevi 28 1 0 25 Sep 2022
Learning in Stackelberg Games with Non-myopic Agents Nika Haghtalab Thodoris Lykouris Sloan Nietert Alexander Wei 22 29 0 19 Aug 2022
Optimal Private Payoff Manipulation against Commitment in Extensive-form Games Yurong Chen Xiaotie Deng Yuhao Li 9 3 0 27 Jun 2022
No-regret Learning in Repeated First-Price Auctions with Budget Constraints Rui Ai Chang Wang Chenchen Li Jinshan Zhang Wenhan Huang Xiaotie Deng 30 10 0 29 May 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design Zhijian Duan Jin-Lin Tang Yutong Yin Zhe Feng Xiang Yan Manzil Zaheer Xiaotie Deng 21 26 0 29 Jan 2022
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach Bora Keskin D. Simchi-Levi Prem M. Talwai 18 1 0 01 Nov 2021
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions Xiaotie Deng Xinyan Hu Tao Lin Weiqiang Zheng 68 12 0 08 Oct 2021
Distribution-free Contextual Dynamic Pricing Yiyun Luo W. Sun Yufeng Liu 56 31 0 15 Sep 2021
Policy Optimization Using Semi-parametric Models for Dynamic Pricing Jianqing Fan Yongyi Guo Mengxin Yu 34 30 0 13 Sep 2021
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization Rad Niazadeh Negin Golrezaei Joshua R. Wang Fransisca Susan Ashwinkumar Badanidiyuru 14 43 0 18 Feb 2021
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling Xiaotie Deng R. Lavi Tao Lin Qi Qi Wenwei Wang Xiang Yan 18 3 0 12 Oct 2020
Learning Product Rankings Robust to Fake Users Negin Golrezaei Vahideh H. Manshadi Jon Schneider S. Sekar 13 26 0 10 Sep 2020
Optimal Learning for Structured Bandits Bart P. G. Van Parys Negin Golrezaei 10 15 0 14 Jul 2020
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions Yanjun Han Zhengyuan Zhou Aaron Flores E. Ordentlich Tsachy Weissman 16 40 0 09 Jul 2020
Optimal No-regret Learning in Repeated First-price Auctions Yanjun Han Zhengyuan Zhou Tsachy Weissman 12 40 0 22 Mar 2020
Contextual Search in the Presence of Adversarial Corruptions A. Krishnamurthy Thodoris Lykouris Chara Podimata Robert Schapire 6 4 0 26 Feb 2020
Incentive-aware Contextual Pricing with Non-parametric Market Noise Negin Golrezaei Patrick Jaillet Jason Cheuk Nam Liang 25 20 0 08 Nov 2019
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders Alexey Drutsa 16 14 0 21 Jun 2019
Utility/Privacy Trade-off through the lens of Optimal Transport Etienne Boursier Vianney Perchet 9 8 0 27 May 2019
Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity Adel Javanmard Hamid Nazerzadeh Simeng Shao 14 19 0 04 Jan 2019
Contextual Bandits with Cross-learning S. Balseiro Negin Golrezaei Mohammad Mahdian Vahab Mirrokni Jon Schneider 13 50 0 25 Sep 2018
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 69 136 0 24 Sep 2016