Search for tag: "estimator"

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15:30 AML: Optimisation - Stochastic Gradient Descent AML: Optimisation - Stochastic Gradient Descent	AML: Optimisation - Stochastic Gradient Descent Applied Machine Learning - INFR11211 AML: Optimisation - Stochastic Gradient Descent Part 3/3 gradient descent points point things direction gradients error minimum function step dataset problems estimate weight variance estimator space sum loss From Siddharth N 0 likes 177 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
42:07 Sharp smoothing estimates for averages over… Sharp smoothing estimates for averages over curves - Sanghyuk Lee	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 icms estimate curve operator dimension symbol problem lp condition function inequality measure kind estimator induction degenerate result regularity sigma conjecture property From Iain Cms 0 likes 37 plays 0 Publisher Simon Kershaw Licence Type All rights reserved Date Created June 27th, 2022
$Thumbnail for entry Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei$ 37:34 Beyond $\log n/\log\log n$ Iterations:… Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei	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 icms amp star signal log estimator algorithm formula synchronisation beta times alpha n. function term distribution lambda result models theory matrix From Iain Cms 0 likes 24 plays 0 Licence Type All rights reserved Language english Date Created May 23rd, 2022
41:51 A Theoretically Tractable Framework for K Fold… A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee	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 icms lambda hat sample estimator risk cross completion prediction estimators validation lasso folds tuning error framework fold inequality predictions problem term From Iain Cms 0 likes 25 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
39:12 Unlinked Monotone Regression - Cecile Durot Unlinked Monotone Regression - Cecile Durot	Unlinked Monotone Regression - Cecile Durot Structural Breaks and Shape Constraints Unlinked Monotone Regression Cecile Durot (Université Paris Nanterre) 19 May 2022 icms distribution function estimator rate fact regression naught epsilon x. convergence deconvolution contrast cases instance estimators m2 minus functions connexion predictors From Iain Cms 0 likes 37 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
41:36 Robust and Adaptive Estimation of a Density on … Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud	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 icms density estimator model densities star interval concave monotone kind result class function distribution distance convex linear approximation respect intervals target From Iain Cms 0 likes 24 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
39:17 MARS via LASSO - Aditya Guntuboyina MARS via LASSO - Aditya Guntuboyina	MARS via LASSO - Aditya Guntuboyina Structural Breaks and Shape Constraints MARS via LASSO Aditya Guntuboyina (University of California, Berkeley) 17 May 2022 icms function functions variation derivatives class regression linear mars measure rate complexity dimension cross lasso respect derivative method smoothness constraint estimator From Iain Cms 0 likes 44 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
45:47 Data-Driven Adjustments for Confidence Intervals… Data-Driven Adjustments for Confidence Intervals and Proximal Representations in Single-Index Models - Pierre Bellec	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 icms model hat beta distribution function penalty star sequence matrix adjustments derivatives estimator regression instance equations bar loss models slides constants From Iain Cms 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
33:48 Anisotropic, Adaptive Finite Elements for… Anisotropic, Adaptive Finite Elements for Academic and Industrial Problems - Marco Picasso	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 icms mesh solution error equation estimator term thing derivative scheme interpolation times difference function elements stokes process computation space pressure timestamp From Iain Cms 0 likes 22 plays 0 Licence Type All rights reserved Language English Date Created May 16th, 2022
39:38 Adaptive Non-Hierarchical Galerkin Methods for… Adaptive Non-Hierarchical Galerkin Methods for Parabolic Problems: Moving Mesh and Virtual Element Methods - Andrea Cangiani	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… icms space error element solution elements mesh freedom problem method degrees projection issue methods functions polynomial linear form sense estimator function From Iain Cms 0 likes 33 plays 0 Licence Type All rights reserved Language English Date Created May 10th, 2022
52:01 Jiahua Chen (University of British Columbia,… Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures	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… icms statistics research distribution mixture function model distance reduction transportation divergence problem cost dataset algorithm estimator method point space combination machine distributions population From Greg McCracken 0 likes 27 plays 0 Licence Type All rights reserved Language English Date Created November 26th, 2021
24:33 Robert L Bassett Presentation - SSPD 2021 Robert L Bassett Presentation - SSPD 2021	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,… sspd 2021 sensor vector signal estimator frequency vessels vessel axis sensors signals power direction eigen gap difference matrices channels bay monterey arrival From Joe Burchell 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created September 14th, 2021
16:53 Spatial Extremes: Marine Demangeot Spatial Extremes: Marine Demangeot	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… eva estimator assumption realisation process theta xml function question estimation curve condition parameter dependence maxima fact matter walk diagram max origin From Belle Taylor 0 likes 46 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
28:19 Networks : Matthias Schulte Networks : Matthias Schulte	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 … eva model distribution process decree weights connexion poisson vertex graph scale point estimator tail nodes hill function note decrease craft weight From Belle Taylor 0 likes 23 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 2nd, 2021
25:02 Networks : Pim van der Hoorn Networks : Pim van der Hoorn	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. … eva distribution function degree network networks model estimator degrees clustering nodes triangles error thing distributions question models estimators fraction problem structures From Belle Taylor 0 likes 21 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 2nd, 2021
31:42 Time Series : Olivier Wintenberger Time Series : Olivier Wintenberger	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… eva blocks alpha process block threshold condition cluster choice norms infinity norm lp estimator exceedances size problem probability statistics crystal extremes From Belle Taylor 0 likes 32 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 5th, 2021

Search for tag: "estimator"

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