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Garvesh Raskutti

Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees

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Jun 11, 2023
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Lazy Estimation of Variable Importance for Large Neural Networks

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Jul 19, 2022
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Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits

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Nov 19, 2021
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The Internet of Federated Things : A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning

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Nov 09, 2021
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Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model

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Jun 29, 2021
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Prediction in the presence of response-dependent missing labels

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Mar 25, 2021
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A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration

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Aug 06, 2020
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Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions

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Mar 16, 2020
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ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching

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Nov 09, 2019
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Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach

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Mar 31, 2019
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