 On Corruption-Robustness in Performative Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 |
 Microfoundation Inference for Strategic PredictionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Strategic Conformal PredictionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Performative Prediction on Games and Mechanism DesignInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Algorithmic Decision-Making under Agents with Persistent ImprovementAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 |
 Non-linear Welfare-Aware Strategic LearningAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 |
 Performative Prediction: Past and FutureStatistical Science (Statist. Sci.), 2023 |
 Zero-Regret Performative Prediction Under Inequality ConstraintsNeural Information Processing Systems (NeurIPS), 2023 |
 Strategic Distribution Shift of Interacting Agents via Coupled Gradient
FlowsNeural Information Processing Systems (NeurIPS), 2023 |
 Plug-in Performative OptimizationInternational Conference on Machine Learning (ICML), 2023 |
 Incentivizing honest performative predictions with proper scoring rulesConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 Performative Federated Learning: A Solution to Model-Dependent and
Heterogeneous Distribution ShiftsAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Performative Prediction with Bandit Feedback: Learning through
ReparameterizationInternational Conference on Machine Learning (ICML), 2023 |
 Performative Prediction with Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Performative Recommendation: Diversifying Content via Strategic
IncentivesInternational Conference on Machine Learning (ICML), 2023 |
 Making Decisions under Outcome PerformativityInformation Technology Convergence and Services (ITCS), 2022 |
 Data Feedback Loops: Model-driven Amplification of Dataset BiasesInternational Conference on Machine Learning (ICML), 2022 Rohan Taori Tatsunori B. Hashimoto |
 Anticipating Performativity by Predicting from PredictionsNeural Information Processing Systems (NeurIPS), 2022 |
 Stochastic Approximation with Decision-Dependent Distributions:
Asymptotic Normality and OptimalityJournal of machine learning research (JMLR), 2022 |
 Emergent specialization from participation dynamics and multi-learner
retrainingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Performative PowerNeural Information Processing Systems (NeurIPS), 2022 |
 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
Shifts and Training ConflictsInternational Conference on Learning Representations (ICLR), 2022 |
 Regret Minimization with Performative FeedbackInternational Conference on Machine Learning (ICML), 2022 |
 Multi-agent Performative Prediction: From Global Stability and
Optimality to ChaosACM Conference on Economics and Computation (EC), 2022 |
 Multiplayer Performative Prediction: Learning in Decision-Dependent
GamesJournal of machine learning research (JMLR), 2022 |
 Visualization EquilibriumIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 |
 Approximate Regions of Attraction in Learning with Decision-Dependent
DistributionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
