:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Xiangge, Li, Jingyuan, Xie, Jiaqing
Format:	Preprint
Published:	2024
Subjects:	Computer Science and Game Theory Machine Learning
Online Access:	https://arxiv.org/abs/2408.14086
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Regret Minimization in Stackelberg Games with Side Information
by: Harris, Keegan, et al.
Published: (2024)

Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)

Learning not to Regret
by: Sychrovský, David, et al.
Published: (2023)

Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)

Learning in Bayesian Stackelberg Games With Unknown Follower's Types
by: Bollini, Matteo, et al.
Published: (2026)

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
by: Balcan, Maria-Florina, et al.
Published: (2025)

Learning Local Stackelberg Equilibria from Repeated Interactions with a Learning Agent
by: Ananthakrishnan, Nivasini, et al.
Published: (2025)

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

Satisfaction and Regret in Stackelberg Games
by: White, Langford, et al.
Published: (2024)

Barriers to Welfare Maximization with No-Regret Learning
by: Anagnostides, Ioannis, et al.
Published: (2024)

Online Stackelberg Optimization via Nonlinear Control
by: Brown, William, et al.
Published: (2024)

Meta-Learning in Self-Play Regret Minimization
by: Sychrovský, David, et al.
Published: (2025)

Learning to Steer Learners in Games
by: Zhang, Yizhou, et al.
Published: (2025)

Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
by: Masiha, Saeed, et al.
Published: (2026)

The Relationship between No-Regret Learning and Online Conformal Prediction
by: Ramalingam, Ramya, et al.
Published: (2025)

Active Inverse Learning in Stackelberg Trajectory Games
by: Ward, William, et al.
Published: (2023)

Honor Among Bandits: No-Regret Learning for Online Fair Division
by: Procaccia, Ariel D., et al.
Published: (2024)

No-Regret Learning in Bilateral Trade via Global Budget Balance
by: Bernasconi, Martino, et al.
Published: (2023)

Improved Regret Bounds for Online Fair Division with Bandit Learning
by: Schiffer, Benjamin, et al.
Published: (2025)

Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games
by: Kamp, Serafina, et al.
Published: (2025)

Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
by: Kampezidou, Styliani I., et al.
Published: (2023)

Real-Time Parallel Counterfactual Regret Minimization
by: Li, Boning, et al.
Published: (2026)

Learning to Play Multi-Follower Bayesian Stackelberg Games
by: Personnat, Gerson, et al.
Published: (2025)

GPU-Accelerated Counterfactual Regret Minimization
by: Kim, Juho
Published: (2024)

p-Mean Regret for Stochastic Bandits
by: Krishna, Anand, et al.
Published: (2024)

Regret Analysis of Repeated Delegated Choice
by: Hajiaghayi, MohammadTaghi, et al.
Published: (2023)

Full Swap Regret and Discretized Calibration
by: Fishelson, Maxwell, et al.
Published: (2025)

Regret Analysis of Sleeping Competing Bandits
by: Uba, Shinnosuke, et al.
Published: (2026)

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
by: Li, Tao, et al.
Published: (2024)

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

Forecasting for Swap Regret for All Downstream Agents
by: Roth, Aaron, et al.
Published: (2024)

Regret Minimization in Bilateral Trade With Perturbed Markets
by: Lunghi, Anna, et al.
Published: (2026)

Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
by: Li, Yingru, et al.
Published: (2024)

Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
by: Liu, Junyan, et al.
Published: (2026)

Selling Joint Ads: A Regret Minimization Perspective
by: Aggarwal, Gagan, et al.
Published: (2024)

Constraint-Aware Generative Auto-bidding via Pareto-Prioritized Regret Optimization
by: Wu, Binglin, et al.
Published: (2026)

Strategizing against No-regret Learners
by: Deng, Yuan, et al.
Published: (2019)

Convergence of Learning Dynamics in Stackelberg Games
by: Fiez, Tanner, et al.
Published: (2019)

Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
by: Cai, Yang, et al.
Published: (2025)

Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning
by: Belahcen, Adam, et al.
Published: (2026)