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A review of urban computing for mobile phone traces: current methods, challenges and opportunities.

, , , , , and . UrbComp@KDD, page 2:1-2:9. ACM, (2013)

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A review of urban computing for mobile phone traces: current methods, challenges and opportunities, , , , , and . International Workshop on Urban Computing, page 1--9. ACM, (2013)Impact of end-user decisions on pricing in wireless networks under a multiple-user-single-provider setting., and . Allerton, page 206-212. IEEE, (2014)(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model., , , , , , and . CoRR, (2024)Efficient Neighborhood Selection for Gaussian Graphical Models., , and . CoRR, (2015)Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models., , , and . CoRR, (2018)How Can LLM Guide RL? A Value-Based Approach., , , , , , , , and . CoRR, (2024)Predictive Approximate Bayesian Computation via Saddle Points., , , and . NeurIPS, page 10282-10291. (2018)The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models., , , and . NeurIPS, (2020)Efficient learning of temporal dynamics with first-order methods. University of Illinois Urbana-Champaign, USA, (2020)Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis., , , , , , and . CoRR, (2023)