DeepPR: Progressive Recovery for Interdependent VNFs With Deep Reinforcement Learning von Ishigaki, Genya, Devic, Siddartha, Gour, Riti, Jue, Jason P.

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When is Multicalibration Post-Processing Necessary? von Hansen, Dutch, Devic, Siddartha, Nakkiran, Preetum, Sharan, Vatsal

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Stability and Multigroup Fairness in Ranking with Uncertain Predictions von Devic, Siddartha, Korolova, Aleksandra, Kempe, David, Sharan, Vatsal

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Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions von Deng, Zihao, Devic, Siddartha, Juba, Brendan

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Fairness in Matching under Uncertainty von Devic, Siddartha, Kempe, David, Sharan, Vatsal, Korolova, Aleksandra

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Transductive Learning Is Compact von Asilis, Julian, Devic, Siddartha, Dughmi, Shaddin, Sharan, Vatsal, Teng, Shang-Hua

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Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization von Ishigaki, Genya, Devic, Siddartha, Gour, Riti, Jue, Jason P

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Regularization and Optimal Multiclass Learning von Asilis, Julian, Devic, Siddartha, Dughmi, Shaddin, Sharan, Vatsal, Teng, Shang-Hua

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When is Multicalibration Post-Processing Necessary? von Hansen, Dutch, Devic, Siddartha, Nakkiran, Preetum, Sharan, Vatsal

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Stability and Multigroup Fairness in Ranking with Uncertain Predictions von Devic, Siddartha, Korolova, Aleksandra, Kempe, David, Sharan, Vatsal

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Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions von Deng, Zihao, Devic, Siddartha, Juba, Brendan

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Fairness in Matching under Uncertainty von Devic, Siddartha, Kempe, David, Sharan, Vatsal, Korolova, Aleksandra

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DeepPR: Progressive Recovery for Interdependent VNFs with Deep Reinforcement Learning von Ishigaki, Genya, Devic, Siddartha, Gour, Riti, Jue, Jason P

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Transductive Learning Is Compact von Asilis, Julian, Devic, Siddartha, Dughmi, Shaddin, Sharan, Vatsal, Shang-Hua Teng

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Regularization and Optimal Multiclass Learning von Asilis, Julian, Devic, Siddartha, Dughmi, Shaddin, Sharan, Vatsal, Shang-Hua Teng

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Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization von Ishigaki, Genya, Devic, Siddartha, Gour, Riti, Jue, Jason P

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ResiliNet: Failure-Resilient Inference in Distributed Neural Networks von Yousefpour, Ashkan, Nguyen, Brian Q, Devic, Siddartha, Wang, Guanhua, Kreidieh, Aboudy, Lobel, Hans, Bayen, Alexandre M, Jue, Jason P

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Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud von Yousefpour, Ashkan, Devic, Siddartha, Nguyen, Brian Q, Kreidieh, Aboudy, Liao, Alan, Bayen, Alexandre M, Jue, Jason P

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DeepPR: Progressive Recovery for Interdependent VNFs with Deep Reinforcement Learning von Ishigaki, Genya, Devic, Siddartha, Gour, Riti, Jue, Jason P

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ResiliNet: Failure-Resilient Inference in Distributed Neural Networks von Yousefpour, Ashkan, Nguyen, Brian Q, Devic, Siddartha, Wang, Guanhua, Kreidieh, Aboudy, Lobel, Hans, Bayen, Alexandre M, Jue, Jason P

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