Search for tag: "norm"

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42:53 Shape Constraints Imposed by Linear Layers in… Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett	Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022 icms function network layer representation networks layers weights functions samples linear training subspace cost units relu things alignment matrix space norm From Frances Allen 0 likes 14 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
35:01 Waves in Complex Continua (Wavinar) - Euan Spence… Waves in Complex Continua (Wavinar) - Euan Spence (University of Bath)	Waves in Complex Continua (Wavinar) - Euan Spence (University of Bath) Click "CC" to turn subtitles off. 01 Mar 2022Euan Spence (University of Bath) The Helmholtz boundary element method does not suffer from the pollution effect icms equation error thing problem method obstacle wave points methods norm space boundary element solution operator frequency pollution helmholtz inverse equations k. From Liam Holligan 0 likes 19 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created March 1st, 2022 Retain Source File Yes
58:49 24 Feb 2022 Simon Donaldson, (Imperial and Stony… 24 Feb 2022 Simon Donaldson, (Imperial and Stony Brook) - Invitation to Geometric Analysis	24 Feb 2022 Simon Donaldson, (Imperial and Stony Brook) - Invitation to Geometric Analysis 24 Feb 2022 Simon Donaldson, Imperial and Stony BrookInvitation to Geometric Analysis"Geometric Analysis”, in the sense of this talk, is a mixture of the analysis of partial differential… icms lms undergraduate function surface point boundary curvature term functions kind sequence fact space norm metrics gauss phi statement solution domain geometry theorem From OLLIE Quinn 0 likes 43 plays 0 Licence Type All rights reserved Language English Date Created February 24th, 2022
48:19 One World SNIPS: Annie Millet One World SNIPS: Annie Millet	One World SNIPS: Annie Millet One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 19 January 2022 Annie Millet (SAMM, University Paris 1 - FP2M federation (CNRS FR 2036) and LPSM (UMR 8001))… one world stochastic numerics inverse problems convergence kind condition scheme result speed moments half divergence term space solution norm hand pressure operator coefficient control elements age From Simon Kershaw 0 likes 32 plays 0 Licence Type All rights reserved
33:21 Waves in Complex Continua (Wavinar) - Daan… Waves in Complex Continua (Wavinar) - Daan Huybrechs (KU Leuven, Belgium)	Waves in Complex Continua (Wavinar) - Daan Huybrechs (KU Leuven, Belgium) Subtitles can be turned off by selecting CC. 07.12.21 Daan Huybrechs (KU Leuven, Belgium) - Non-polynomial discretizations of wave problems: accuracy and stability problem approximation error frame function functions coefficient linear thing basis condition epsilon space wave norm accuracy bit paper methods cases From Liam Holligan 0 likes 12 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created December 7th, 2021
40:51 OW SNIPS - Irene Tubikanec (Johannes Kepler… OW SNIPS - Irene Tubikanec (Johannes Kepler University, Linz)	OW SNIPS - Irene Tubikanec (Johannes Kepler University, Linz) Subtitles will be added soon. 17 November 2021 Irene Tubikanec (Johannes Kepler University, Linz) Plitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo… icms seminar oneworld stochastic numerics inverse problems function matrix term step model process euler property ode delta linear maruyama norm solution splitting equation component method preservation distribution From Liam Holligan 0 likes 3 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 17th, 2021
54:38 Aretha Teckentrup (Edinburgh) - Surrogate models… Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems	Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems This recording is in the process of being subtitled. We aim to have edited captions available within 2 weeks of publishing. 18 October 2021 Aretha Teckentrup (Edinburgh) - Surrogate models in… owna icms one world phi distribution likelihood approximation model problem methods function sigma models process norm inverse sample 5'-end log things kind observation probability From OLLIE Quinn 0 likes 47 plays 0 Licence Type All rights reserved Language English Date Created October 18th, 2021
01:43:36 Essentials of numerical nonsmooth optimization… Essentials of numerical nonsmooth optimization Lecture 3 - Manilo Gaudioso	Essentials of numerical nonsmooth optimization Lecture 3 - Manilo Gaudioso EUROPT Summer School 2021 Monday 20 August to Wednesday 1 Sept 2021 Essentials of numerical nonsmooth optimization Lecture 3 Manilo Gaudioso (Universita della Calabria)30 August 2021 The… icms europt summerschool function classification problem point convex class points hyperplane separation vector error sets side optimization problems norm model sum maximum machine From Liam Holligan 0 likes 31 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 3rd, 2021
01:32:04 Robust optimisation: The need, the challenge, the… Robust optimisation: The need, the challenge, the achievements - Lecture 1 - Aharon Ben-Tal	Robust optimisation: The need, the challenge, the achievements - Lecture 1 - Aharon Ben-Tal EUROPT Summer School 2021 Monday 20 August to Wednesday 1 Sept 2021 Robust optimisation: The need, the challenge, the achievements - Lecture 1 Aharon Ben-Tal (Technion - Israel Institute of… optimisation mathematics problem matrix constraint optimization linear bar function programming semi cone programme inequality side answer times norm uncertainty thing bars implementation From Liam Holligan 0 likes 112 plays 0 Licence Type All rights reserved Language english Date Created August 30th, 2021 Retain Source File Yes
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 24 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 5th, 2021
20:04 Extremes of Stochastic Processes: Johannes Heiny Extremes of Stochastic Processes: Johannes Heiny	Extremes of Stochastic Processes: Johannes Heiny This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Johannes Heiny Talk Title: Extremes of interpoint distances of high-dimensional random… eva points distribution maximum correlation sample matrix covariance function point vectors distances moment sequence range entries norm variables coefficient sum result From Belle Taylor 0 likes 14 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
15:26 Best Student Paper: Hamid Jalalzai Best Student Paper: Hamid Jalalzai	Best Student Paper: Hamid Jalalzai This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Hamid Jalalzai Talk Title: Feature Clustering for Support Identification in Extreme… eva matrix structure problem measure extremes optimization dependency risk feature clusters simplex mixture norm samples function detection anomaly framework paper scheme From Belle Taylor 0 likes 32 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
29:30 Multivariate Extremes: John Nolan Multivariate Extremes: John Nolan	Multivariate Extremes: John Nolan This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: John Nolan Talk Title: Robust Sparse ReconstructionTalk Abstract: Traditional compressive… eva signal alpha matrix size reconstruction function dispersion term norm question sparsity paper step threshold method parameter bit sample vector property From Belle Taylor 0 likes 30 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
37:39 IS Machine Learning: Matthieu Lerasle IS Machine Learning: Matthieu Lerasle	IS Machine Learning: Matthieu Lerasle This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Matthieu Lerasle Talk Title: Robust statistical learning Abstract: I will present two… eva process matrix assumption median norm estimator subversion things kind result approach analysis thing loss blocks root beta linear eigenvalue homogeneity From Belle Taylor 0 likes 18 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
15:41 Best student paper: Gloria Buriticá Best student paper: Gloria Buriticá	Best student paper: Gloria Buriticá This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar.Name: Gloria Buriticá Talk Title: Modeling clusters of extreme events over short… eva cluster process alpha blocks norm tail inference threshold dependence estimates quantiles assumption definition clustering estimate sample distribution exceedances question method From Belle Taylor 0 likes 52 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
02:49 John Nolan EVA Talk Preview John Nolan EVA Talk Preview	John Nolan EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: John Nolan Talk Title: Robust Sparse Reconstruction Abstract: Traditional compressive sensing (CS) assumes… icms eva solution method theory data analysis robust sparse reconstruction matrix condition vector 29th distance problem norm sparsity measurement times performance problems p2 p1 catholics approach values html tail annuity From Anna Munro 0 likes 15 plays 0 Licence Type All rights reserved Language English

Search for tag: "norm"

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