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Fairer but Not Fair Enough On the Equitability of Knowledge Tracing.

, and . LAK, page 335-339. ACM, (2019)

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Sublinear Optimal Policy Value Estimation in Contextual Bandits., , and . CoRR, (2019)Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making., , , and . CoRR, (2021)Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization., , , and . CoRR, (2023)Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning., , and . NeurIPS, page 13626-13640. (2021)Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding., , , and . NeurIPS, (2020)Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes., , and . NeurIPS, page 15650-15666. (2021)Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy., , , and . AAAI, page 4436-4443. AAAI Press, (2020)Fairer but Not Fair Enough On the Equitability of Knowledge Tracing., and . LAK, page 335-339. ACM, (2019)Off-Policy Policy Gradient with State Distribution Correction., , , and . CoRR, (2019)Sublinear Optimal Policy Value Estimation in Contextual Bandits., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4377-4387. PMLR, (2020)