Publications associées à Geometry-aware analysis of high-dimensional visual information sets

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A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Geometry-aware analysis of high-dimensional visual information sets

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Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

From Undercomplete to Sparse Overcomplete Autoencoders to Improve LF-MMI Speech Recognition

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Integrating advanced discrete choice models in mixed integer linear optimization

A first-order primal-dual method with adaptivity to local smoothness

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Integrating advanced discrete choice models in mixed integer linear optimization

A first-order primal-dual method with adaptivity to local smoothness

From Undercomplete to Sparse Overcomplete Autoencoders to Improve LF-MMI Speech Recognition

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities