Co-occurring keywords · papers mentioning both
Papers
Discounted Cuts: A Stackelberg Approach to Network Disruption
AAAI 2026
Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game
AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
AAAI 2026
The Power of Initial Investigation in Audit Games
AAAI 2026
Adversarial Training for Defense Against Label Poisoning Attacks
ICLR 2025
Commitment to Sparse Strategies in Two-Player Games
AAAI 2025
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
ICML 2025
Generalized Principal-Agent Problem with a Learning Agent
ICLR 2025
Neural Operators Can Play Dynamic Stackelberg Games
JMLR 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
Responding to Promises: No-regret learning against followers with memory
L4DC 2025
Strategic Classification With Externalities
ICLR 2025
The Sample Complexity of Stackelberg Games
AISTATS 2025
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
NeurIPS 2024
Bandits with Preference Feedback: A Stackelberg Game Perspective
NeurIPS 2024
Content Filtering with Inattentive Information Consumers
AAAI 2024
Contextual Bilevel Reinforcement Learning for Incentive Alignment
NeurIPS 2024
Decentralized Online Learning in General-Sum Stackelberg Games
UAI 2024
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
NeurIPS 2024
Game-Theoretic Unlearnable Example Generator
AAAI 2024
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
ICML 2024
Learning in Online Principal-Agent Interactions: The Power of Menus
AAAI 2024
Online Stackelberg Optimization via Nonlinear Control
COLT 2024
Optimal Attack and Defense for Reinforcement Learning
AAAI 2024
Principal-Agent Reward Shaping in MDPs
AAAI 2024