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Nonlinear regression

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Nonlinear regression

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The effects of slide cohesion on impulse waves generated by landslides

The effects of slide cohesion on impulse waves generated by landslides

Learning without Smoothness and Strong Convexity

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Methodology And Convergence Rates For Functional Time Series Regression

Data-driven reduced order modeling for time-dependent problems

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks

The effects of slide cohesion on impulse waves generated by landslides

Learning without Smoothness and Strong Convexity

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Data-driven reduced order modeling for time-dependent problems

The effects of slide cohesion on impulse waves generated by landslides

Methodology And Convergence Rates For Functional Time Series Regression

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods