Cover Image

Pricing Query Complexity of Multiplicative Revenue Approximation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Wei, Wang, Yifan, Zhang, Mengxiao
Format:	Preprint
Published:	2026
Subjects:	Computer Science and Game Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Pricing for Graph Neural Networks without Pre-purchased Inspection
by: Liu, Yiping, et al.
Published: (2025)

Dynamic Pricing and Learning with Long-term Reference Effects
by: Agrawal, Shipra, et al.
Published: (2024)

Dynamic Pricing and Advertising with Demand Learning
by: Agrawal, Shipra, et al.
Published: (2023)

Data-Driven Revenue Management for Air Cargo
by: Eren, Ezgi, et al.
Published: (2024)

Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
by: Lucier, Brendan, et al.
Published: (2023)

The Query Complexity of Uniform Pricing
by: Chen, Houshuang, et al.
Published: (2025)

Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design
by: Pourbabaee, Farzad, et al.
Published: (2025)

New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
by: Balcan, Maria-Florina, et al.
Published: (2023)

User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization
by: Cai, Yang, et al.
Published: (2023)

Fairness-aware Contextual Dynamic Pricing with Strategic Buyers
by: Liu, Pangpang, et al.
Published: (2025)

Smoothed Elicitation Complexity for Approximate $Γ$-calibration of Discrete Classification Tasks
by: Finocchiaro, Jessica, et al.
Published: (2026)

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation
by: Dai, Yan, et al.
Published: (2024)

Online Revenue Maximization for Server Pricing
by: Boodaghians, Shant, et al.
Published: (2019)

Bandit Sequential Posted Pricing via Half-Concavity
by: Singla, Sahil, et al.
Published: (2023)

Price-Discrimination Game for Distributed Resource Management in Federated Learning
by: Zhang, Han, et al.
Published: (2023)

Learning Optimal Posted Prices for a Unit-Demand Buyer
by: Teng, Yifeng, et al.
Published: (2025)

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
by: Zhang, Mengxiao, et al.
Published: (2024)

Pricing and Competition for Generative AI
by: Mahmood, Rafid
Published: (2024)

Learning to Price Homogeneous Data
by: Chen, Keran, et al.
Published: (2024)

On the Learning Curves of Revenue Maximization
by: Hanneke, Steve, et al.
Published: (2026)

An Instrumental Value for Data Production and its Application to Data Pricing
by: Ai, Rui, et al.
Published: (2024)

Revenue Variance Minimization: Beyond First Price Auctions
by: Bojko, Marek, et al.
Published: (2024)

Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity
by: Wang, Yige, et al.
Published: (2025)

The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning
by: Han, Bin, et al.
Published: (2026)

A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design
by: Ai, Rui, et al.
Published: (2022)

Contextual Dynamic Pricing with Strategic Buyers
by: Liu, Pangpang, et al.
Published: (2023)

Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches
by: Simchi-Levi, David, et al.
Published: (2019)

Dynamic Reserve Price Design with Distributed Solving Algorithm
by: Li, Mang
Published: (2022)

Optimal Pricing for Data-Augmented AutoML Marketplaces
by: Han, Minbiao, et al.
Published: (2023)

Do Data Valuations Make Good Data Prices?
by: Fan, Dongyang, et al.
Published: (2025)

Revenue-Optimal Pricing for Budget-Constrained Buyers in Data Markets
by: Chaudhury, Bhaskar Ray, et al.
Published: (2026)

Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
by: Kumar, Rachitesh, et al.
Published: (2024)

Online Learning for Equilibrium Pricing in Markets under Incomplete Information
by: Jalota, Devansh, et al.
Published: (2023)

Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents
by: Tinoco, Sebastián, et al.
Published: (2025)

From Stream to Pool: Pricing Under the Law of Diminishing Marginal Utility
by: Cui, Titing, et al.
Published: (2023)

Optimizing Floors in First Price Auctions: an Empirical Study of Yahoo Advertising
by: Alcobendas, Miguel, et al.
Published: (2023)

Learning to Bid in Non-Stationary Repeated First-Price Auctions
by: Hu, Zihao, et al.
Published: (2025)

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
by: Xin, Yun, et al.
Published: (2025)

Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
by: Potfer, Marius, et al.
Published: (2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)