Cover Image

Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Xueping, You, Wei, Zhang, Jiheng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parameter-Adaptive Dynamic Pricing
by: Gong, Xueping, et al.
Published: (2025)

Efficient Transfer Learning via Causal Bounds
by: Gong, Xueping, et al.
Published: (2023)

Stochastic Graph Bandit Learning with Side-Observations
by: Gong, Xueping, et al.
Published: (2023)

Dynamic Pricing in the Linear Valuation Model using Shape Constraints
by: Bracale, Daniele, et al.
Published: (2025)

Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
by: Han, Zean, et al.
Published: (2026)

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
by: Zhang, Yi, et al.
Published: (2025)

Contextual Dynamic Pricing with Heterogeneous Buyers
by: Lykouris, Thodoris, et al.
Published: (2025)

Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
by: Zhao, Zifeng, et al.
Published: (2024)

Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions
by: Hu, Zihao, et al.
Published: (2026)

Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
by: Liang, Zhangyong, et al.
Published: (2024)

Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
by: Rowland, Mark, et al.
Published: (2024)

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

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

Linear Bandits on Ellipsoids: Minimax Optimal Algorithms
by: Zhang, Raymond, et al.
Published: (2025)

Computational Efficient and Minimax Optimal Nonignorable Matrix Completion
by: A, Yuanhong, et al.
Published: (2025)

Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)

Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
by: Liu, Ziyi, et al.
Published: (2024)

Towards Minimax Optimality of Model-based Robust Reinforcement Learning
by: Clavier, Pierre, et al.
Published: (2023)

Contextual Online Pricing with (Biased) Offline Data
by: Zhang, Yixuan, et al.
Published: (2025)

Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance
by: Zhao, Hangyi
Published: (2026)

Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
by: Liu, Haolin, et al.
Published: (2024)

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

Transformers are Minimax Optimal Nonparametric In-Context Learners
by: Kim, Juno, et al.
Published: (2024)

Minimax Optimal Reinforcement Learning with Quasi-Optimism
by: Lee, Harin, et al.
Published: (2025)

Minimax Optimal Q Learning with Nearest Neighbors
by: Zhao, Puning, et al.
Published: (2023)

MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
by: Fan, Yingying, et al.
Published: (2025)

Multi-Task Dynamic Pricing in Credit Market with Contextual Information
by: Javanmard, Adel, et al.
Published: (2024)

Improved Algorithms for Contextual Dynamic Pricing
by: Tullii, Matilde, et al.
Published: (2024)

Minimax-Optimal Multi-Agent Robust Reinforcement Learning
by: Jiao, Yuchen, et al.
Published: (2024)

Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
by: Lee, Joongkyu, et al.
Published: (2024)

Minimax Optimal Estimation of Stability Under Distribution Shift
by: Namkoong, Hongseok, et al.
Published: (2022)

Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
by: Tajdini, Artin, et al.
Published: (2023)

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

Minimax Generalized Cross-Entropy
by: Bondugula, Kartheek, et al.
Published: (2026)

Minimax Optimality of the Probability Flow ODE for Diffusion Models
by: Cai, Changxiao, et al.
Published: (2025)

EXPRESS: An LLM-Generated Explainable Property Valuation System with Neighbor Imputation
by: Du, Wei-Wei, et al.
Published: (2025)

Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
by: Zhang, Zhen, et al.
Published: (2025)

Deep Generative Demand Learning for Newsvendor and Pricing
by: Gong, Shijin, et al.
Published: (2024)

Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal
by: Meunier, Dimitri, et al.
Published: (2024)

Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
by: Kim, Kaheon, et al.
Published: (2025)