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Near-Optimally Teaching the Crowd to Classify.

, , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 154-162. JMLR.org, (2014)

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Evaluating ChatGPT and GPT-4 for Visual Programming.. ICER (2), page 14-15. ACM, (2023)Bayesian Persuasion in Sequential Decision-Making., , , and . CoRR, (2021)On the Fairness of Time-Critical Influence Maximization in Social Networks., , , , , and . CoRR, (2019)Teaching Inverse Reinforcement Learners via Features and Demonstrations., , and . NeurIPS, page 8473-8482. (2018)Teaching Multiple Concepts to a Forgetful Learner., , , , , , , and . NeurIPS, page 4050-4060. (2019)Fair Clustering Using Antidote Data., , and . AFCR, volume 171 of Proceedings of Machine Learning Research, page 19-39. PMLR, (2021)Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation., , , , , , , and . LAK, page 12-23. ACM, (2024)Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7974-7984. PMLR, (2020)Adaptive Reward-Poisoning Attacks against Reinforcement Learning., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 11225-11234. PMLR, (2020)Can A User Guess What Her Followers Want?, , , and . WSDM, page 142-150. ACM, (2020)