Search for tag: "estimator"

AML: Optimisation - Stochastic Gradient Descent

Applied Machine Learning - INFR11211 AML: Optimisation - Stochastic Gradient Descent Part 3/3

From  Siddharth N 0 likes 117 plays 0  

Sharp smoothing estimates for averages over curves - Sanghyuk Lee

Fourier Analysis @200 Sharp smoothing estimates for averages over curves Sanghyuk Lee, Seoul National University 27 June 2022

From  Iain Cms 0 likes 29 plays 0  

Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei

Structural Breaks and Shape Constraints Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing Yuting Wei (University of Pennsylvania) 19 May 2022

From  Iain Cms 0 likes 22 plays 0  

A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee

Structural Breaks and Shape Constraints A Theoretically Tractable Framework for K Fold Cross Vaidation Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign) 19 May 2022

From  Iain Cms 0 likes 23 plays 0  

Unlinked Monotone Regression - Cecile Durot

Structural Breaks and Shape Constraints Unlinked Monotone Regression Cecile Durot (Université Paris Nanterre) 19 May 2022

From  Iain Cms 0 likes 25 plays 0  

Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud

Structural Breaks and Shape Constraints Robust and Adaptive estimation of a Density on the Line under a Shape Constraint Yannick Baraud (University of Luxembourg) 19 May 2022

From  Iain Cms 0 likes 19 plays 0  

MARS via LASSO - Aditya Guntuboyina

Structural Breaks and Shape Constraints MARS via LASSO Aditya Guntuboyina (University of California, Berkeley) 17 May 2022

From  Iain Cms 0 likes 40 plays 0  

Data-Driven Adjustments for Confidence Intervals and Proximal Representations in Single-Index Models - Pierre Bellec

Structural Breaks and shape Constraints Data-Driven Adjustments for Confidence Intervals and Proximal Representations in Single-Index Models Pierre Bellec (Rutgers University) 17 May 2022

From  Iain Cms 0 likes 9 plays 0  

Anisotropic, Adaptive Finite Elements for Academic and Industrial Problems - Marco Picasso

Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Anisotropic, Adaptive Finite Elements for Academic and industrial Problems Marco Picasso (EPFL) 12 May 2022

From  Iain Cms 0 likes 18 plays 0  

Adaptive Non-Hierarchical Galerkin Methods for Parabolic Problems: Moving Mesh and Virtual Element Methods - Andrea Cangiani

Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Adaptive Non-Hierarchical Galerkin Methods for Parabolic Problems: Moving Mesh and Virtual Element Methods Andrea…

From  Iain Cms 0 likes 30 plays 0  

Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures

26 November 2021 Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures. Advances in information technology have led to extremely large…

From  OLLIE Quinn 0 likes 20 plays 0  

Robert L Bassett Presentation - SSPD 2021

Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing" Speaker: Robert L Bassett,…

From  Joe Burchell 0 likes 11 plays 0  

Spatial Extremes: Marine Demangeot

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Marine Demangeot Talk Title: Estimation of the extremal coefficient function based on a…

From  Belle Taylor 0 likes 44 plays 0  

Networks : Matthias Schulte

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar.Name : Matthias Schulte Talk Title: Large degrees in scale-free inhomogeneous random graphs …

From  Belle Taylor 0 likes 21 plays 0  

Networks : Pim van der Hoorn

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Pim van der Hoorn Talk Title: Tails in networks: a tale of finding the right slope. …

From  Belle Taylor 0 likes 18 plays 0  

Time Series : Olivier Wintenberger

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Olivier Wintenberger Talk Title: Threshold selection for cluster inference based on large…

From  Belle Taylor 0 likes 28 plays 0