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Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits



Hao Chen , Lili Zheng , Raed Al Kontar , Garvesh Raskutti


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The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning



Raed Kontar , Naichen Shi , Xubo Yue , Seokhyun Chung , Eunshin Byon , Mosharaf Chowdhury , Judy Jin , Wissam Kontar , Neda Masoud , Maher Noueihed , Chinedum E. Okwudire , Garvesh Raskutti , Romesh Saigal , Karandeep Singh , Zhisheng Ye

* Accepted at IEEE 

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Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model



Yue Gao , Garvesh Raskutti


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Prediction in the presence of response-dependent missing labels



Hyebin Song , Garvesh Raskutti , Rebecca Willett


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A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration



Yuetian Luo , Garvesh Raskutti , Ming Yuan , Anru R. Zhang


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Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions



Lili Zheng , Garvesh Raskutti , Rebecca Willett , Benjamin Mark


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ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching



Anru Zhang , Yuetian Luo , Garvesh Raskutti , Ming Yuan


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Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach



Raed Kontar , Garvesh Raskutti , Shiyu Zhou


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Estimating Network Structure from Incomplete Event Data



Benjamin Mark , Garvesh Raskutti , Rebecca Willett


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