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Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare.

, , , and . UAI, page 543-553. AUAI Press, (2012)

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Robust Approximation and Incremental Elicitation in Voting Protocols., and . IJCAI, page 287-293. IJCAI/AAAI, (2011)Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors., , , , , , and . WWW, page 2411-2421. ACM, (2022)Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes., and . UAI, AUAI Press, (2016)Gradient-Based Optimization for Bayesian Preference Elicitation., , , and . AAAI, page 10292-10301. AAAI Press, (2020)ConQUR: Mitigating Delusional Bias in Deep Q-Learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9187-9195. PMLR, (2020)Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning., , and . COLT, page 33-44. Omnipress, (2008)Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare., , , and . UAI, page 543-553. AUAI Press, (2012)Learning Mallows Models with Pairwise Preferences., and . ICML, page 145-152. Omnipress, (2011)Value-Directed Compression of Large-Scale Assignment Problems., and . AAAI, page 1182-1190. AAAI Press, (2015)Data center cooling using model-predictive control., , , , , , and . NeurIPS, page 3818-3827. (2018)