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Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation.

, , , and . AAAI, page 2821-2827. AAAI Press, (2015)

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Online Resource Allocation under Partially Predictable Demand., , and . CoRR, (2018)Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena., , , and . AAMAS, page 573-580. IFAAMAS/ACM, (2014)Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers., , , , , , , and . CoRR, (2023)Secretary Problems with Random Number of Candidates: How Prior Distributional Information Helps., and . CoRR, (2023)Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs)., , , , and . J. Artif. Intell. Res., (2017)Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning., , and . IJCAI, page 5864-5870. ijcai.org, (2019)Location and Routing Models for Emergency Response Plans with Priorities., , , , and . Future Security, volume 318 of Communications in Computer and Information Science, page 129-140. Springer, (2012)An Information-Theoretic Framework for Unifying Active Learning Problems., , and . AAAI, page 9126-9134. AAAI Press, (2021)Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation., , , and . AAAI, page 2821-2827. AAAI Press, (2015)DRCFS: Doubly Robust Causal Feature Selection., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28468-28491. PMLR, (2023)