Cover Image

Bandit Sequential Posted Pricing via Half-Concavity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singla, Sahil, Wang, Yifan
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Data Structures and Algorithms Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Single-Sample and Robust Online Resource Allocation
by: Ghuge, Rohan, et al.
Published: (2025)

Sample Complexity of Posted Pricing for a Single Item
by: Jin, Billy, et al.
Published: (2024)

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

Secretary, Prophet, and Stochastic Probing via Big-Decisions-First
by: Rubinstein, Aviad, et al.
Published: (2026)

Online Combinatorial Allocations and Auctions with Few Samples
by: Dütting, Paul, et al.
Published: (2024)

Efficient Approximation Schemes for Stochastic Probing and Selection-Stopping Problems
by: Segev, Danny, et al.
Published: (2020)

Bandit Social Learning: Exploration under Myopic Behavior
by: Banihashem, Kiarash, et al.
Published: (2023)

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

Strategizing against No-Regret Learners in First-Price Auctions
by: Rubinstein, Aviad, et al.
Published: (2024)

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations
by: Cesa-Bianchi, Nicolò, et al.
Published: (2023)

Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
by: Golrezaei, Negin, et al.
Published: (2024)

Adaptive Discretization against an Adversary: Lipschitz bandits, Dynamic Pricing, and Auction Tuning
by: Podimata, Chara, et al.
Published: (2020)

Posted Price Mechanisms for Online Allocation with Diseconomies of Scale
by: Jazi, Hossein Nekouyan, et al.
Published: (2025)

A Competitive Posted-Price Mechanism for Online Budget-Feasible Auctions
by: Charalampopoulos, Andreas, et al.
Published: (2025)

Improved Mechanisms and Prophet Inequalities for Graphical Dependencies
by: Livanos, Vasilis, et al.
Published: (2024)

Simultaneous Swap Regret Minimization via KL-Calibration
by: Luo, Haipeng, et al.
Published: (2025)

Collaborative Prediction: Tractable Information Aggregation via Agreement
by: Collina, Natalie, et al.
Published: (2025)

Procurement Auctions via Approximately Optimal Submodular Optimization
by: Deng, Yuan, et al.
Published: (2024)

Optimal Pricing with Unreliable Signals
by: Tang, Zhihao Gavin, et al.
Published: (2026)

Beyond the Half-Approximation: Fair and Efficient Online Class Matching
by: Borst, Sander, et al.
Published: (2026)

Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality
by: Liu, Junyan, et al.
Published: (2025)

Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More
by: Bowers, Robin, et al.
Published: (2025)

Static Pricing Guarantees for Queueing Systems
by: Bergquist, Jacob, et al.
Published: (2023)

Logarithmic Approximation for Road Pricing on Grids
by: Constantinescu, Andrei, et al.
Published: (2025)

Repeated Bilateral Trade Against a Smoothed Adversary
by: Cesa-Bianchi, Nicolò, et al.
Published: (2023)

Smooth Nash Equilibria: Algorithms and Complexity
by: Daskalakis, Constantinos, et al.
Published: (2023)

High dimensional online calibration in polynomial time
by: Peng, Binghui
Published: (2025)

Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability
by: Collina, Natalie, et al.
Published: (2024)

Online Bidding Algorithms with Strict Return on Spend (ROS) Constraint
by: Vaze, Rahul, et al.
Published: (2025)

High-Dimensional Calibration from Swap Regret
by: Fishelson, Maxwell, et al.
Published: (2025)

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

An $α$-regret analysis of Adversarial Bilateral Trade
by: Azar, Yossi, et al.
Published: (2022)

Fixed Point Computation: Beating Brute Force with Smoothed Analysis
by: Attias, Idan, et al.
Published: (2025)

Contextual Learning for Stochastic Optimization
by: Heuser, Anna, et al.
Published: (2025)

Water-Filling is Universally Minimax Optimal
by: Banerjee, Siddhartha, et al.
Published: (2026)

Incentivizing Exploration with Selective Data Disclosure
by: Immorlica, Nicole, et al.
Published: (2018)

Learning in Stackelberg Games with Non-myopic Agents
by: Haghtalab, Nika, et al.
Published: (2022)

Roping in Uncertainty: Robustness and Regularization in Markov Games
by: McMahan, Jeremy, et al.
Published: (2024)

Tractable Agreement Protocols
by: Collina, Natalie, et al.
Published: (2024)

Static Pricing for Online Selection Problem and its Variants
by: Sun, Bo, et al.
Published: (2024)