Publications associées à Large Steps in Inverse Rendering of Geometry

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Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

Large Steps in Inverse Rendering of Geometry

Graph Chatbot

Chattez avec Graph Search

Slice-by-Slice versus Fully 3D Reconstruction for Parallel-Beam x-Ray Microtomography

A Primal-dual Framework For Mixtures Of Regularisers

On the Use of Transient Information for Static Real-Time Optimization

Point localization in Multi-camera system

Scalable Convex Methods for Phase Retrieval

Path-following gradient-based decomposition algorithms for separable convex optimization

Socially-Aware Large-Scale Crowd Forecasting

From Discrete Measurements to Bounded Gradient Estimates: A Look at Some Regularizing Structures

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

On the Use of Transient Information for Static Real-Time Optimization

Slice-by-Slice versus Fully 3D Reconstruction for Parallel-Beam x-Ray Microtomography

A Primal-dual Framework For Mixtures Of Regularisers

Socially-Aware Large-Scale Crowd Forecasting

From Discrete Measurements to Bounded Gradient Estimates: A Look at Some Regularizing Structures

Point localization in Multi-camera system

Path-following gradient-based decomposition algorithms for separable convex optimization

Scalable Convex Methods for Phase Retrieval