Publications associées à Augmented Lagrangian Methods for Provable and Scalable Machine Learning

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Non-local Functionals Related to the Total Variation and Connections with Image Processing

Hoài-Minh Nguyên

We present new results concerning the approximation of the total variation,

\int_{\Omega} |\nabla u|

, of a function

u

by non-local, non-convex functionals of the form $$ \Lambda_\delta u = \int_{\Omega} \int_{\Omega} \frac{\delta \varphi \big( |u(x) - ...

2018

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Graph Chatbot

Chattez avec Graph Search

Faster Algorithms for Integer Programs with Block Structure

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Non-local Functionals Related to the Total Variation and Connections with Image Processing

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Asynchronous updates for stochastic gradient descent

Dynamic Facility Location via Exponential Clocks

Optical Tomography Based On A Nonlinear Model That Handles Multiple Scattering

Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

Technical Report: Voltage Source Converter MPC with Optimized Pulse Patterns and minimization of Integrated Squared Tracking Error

A Data-Driven Approach to Power Converter Control via Convex Optimization

Dynamic Facility Location via Exponential Clocks

Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

A Data-Driven Approach to Power Converter Control via Convex Optimization

Optical Tomography Based On A Nonlinear Model That Handles Multiple Scattering

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Non-local Functionals Related to the Total Variation and Connections with Image Processing

Faster Algorithms for Integer Programs with Block Structure

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Asynchronous updates for stochastic gradient descent

Technical Report: Voltage Source Converter MPC with Optimized Pulse Patterns and minimization of Integrated Squared Tracking Error