Search for tag: "gradient"

AML: Optimisation - Stochastic Gradient Descent

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

From  Siddharth N 0 likes 118 plays 0  

AML: Optimisation - Gradient Descent

Applied Machine Learning - INFR11211 AML: Optimisation - Gradient Descent Part 2/3

From  Siddharth N 0 likes 133 plays 0  

AML: Optimisation - ML Optimisation

Applied Machine Learning - INFR11211 AML: Optimisation - ML Optimisation Part 1/3

From  Siddharth N 0 likes 129 plays 0  

Sharp subelliptic estimates via an uncertainty principle - Gian Maria Dall'Ara

Fourier Analysis @ 200 Sharp subelliptic estimates via an uncertainty principle Gian Maria Dall'Ara, Scuola Normale Superiore (Pisa) 30 June 2022

From  Iain Cms 0 likes 28 plays 0  

Phase Behaviour, Biased Ensembles and Optimal Control of Active Particles - Mike Cates

From Individual to Collective Behaviour in Biological and Robotic Systems Phase Behaviour, Biased Ensembles and Optimal Control of Active Particles DAMTP, University of Cambridge Mike Cates

From  Iain Cms 0 likes 34 plays 0  

Active Brownian Particles and chemotaxis - Oscar de Wit

From Individual to Collective Behaviour in Biological and Robotic Systems Active Brownian Particles and chemotaxis University of Cambridge Oscar de Wit

From  Iain Cms 0 likes 31 plays 0  

Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation - Dante Kalise

From Individual to Collective Behaviour in Biological and Robotic Systems Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation Imperial College London Dante Kalise

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Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs - Zhou Fan

Structural Breaks and Shape Constraints Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Zhou Fan (Yale University) 17 May 2022

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Immersed Method with Metric Based Anisotropic Meh Adaptation for Computational Multiphase Flow Dynamics - Thierry Coupez

Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Immersed Method with Metric Based Anisotropic Meh Adaptation for Computational Multiphase Flow Dynamics Thierry…

From  Iain Cms 0 likes 28 plays 0  

One World SNIPS: Lukasz Szpruch

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 02 February 2022 Lukasz Szpruch (University of Edinburgh / Alan Turing Institute) From the theory of (stochastic)…

From  Simon Kershaw 0 likes 37 plays 0  

Stefano Modena - Thursday 11 November

08 Nov- 12 Nov 2021ICMS hosted the Convex Integration and Nonlinear Partial Differential Equations workshopNon-uniqueness for the transport equation with Sobolev vector fields Stefano Modena (TU -…

From  Simon Kershaw 0 likes 25 plays 0  

Angkana Ruland - Monday 8 November

08 Nov- 12 Nov 2021 ICMS hosted the Convex Integration and Nonlinear Partial Differential Equations workshop Rigidity and Flexibility in the Modelling of Shape-Memory Alloys Angkana Ruland…

From  Simon Kershaw 0 likes 65 plays 0  

Anis Hamadouche Presentation - SSPD 2021

Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Approximate Proximal-Gradient Methods" Speaker: Anis Hamadouche, Heriot-Watt…

From  Joe Burchell 0 likes 31 plays 0  

Stefan Perko Student Talks

30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Edition Approximating stochastic gradient descent with diffusions: error expansions and impact of learning…

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James Foster - Neural stochastic differential equations for time series modelling

30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition Neural stochastic differential equations for time series modelling James Foster (University of…

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Bayesian Extremes: Rishikesh Yadav

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Rishikesh Yadav Talk Title: A flexible Bayesian framework for modeling extreme spatial…

From  Belle Taylor 0 likes 22 plays 0