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You can teach elephants to dance: agile VM handoff for edge computing.

, , , , , , , , и . SEC, стр. 12:1-12:14. ACM, (2017)

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Differentiable MPC for End-to-end Planning and Control., , , , и . NeurIPS, стр. 8299-8310. (2018)End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization., , , и . L4DC, том 211 из Proceedings of Machine Learning Research, стр. 220-234. PMLR, (2023)On the model-based stochastic value gradient for continuous reinforcement learning., , , и . L4DC, том 144 из Proceedings of Machine Learning Research, стр. 6-20. PMLR, (2021)Learning Neural Event Functions for Ordinary Differential Equations., , и . ICLR, OpenReview.net, (2021)The Differentiable Cross-Entropy Method., и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 291-302. PMLR, (2020)Cross-Domain Imitation Learning via Optimal Transport., , , и . ICLR, OpenReview.net, (2022)Riemannian Convex Potential Maps., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2028-2038. PMLR, (2021)Meta Optimal Transport., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 791-813. PMLR, (2023)An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance., , , , , , , , , и 2 other автор(ы). SEC, стр. 14:1-14:14. ACM, (2017)OptNet: Differentiable Optimization as a Layer in Neural Networks., и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 136-145. PMLR, (2017)