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Fréchet means in Wasserstein space

Yoav Zemel

This work studies the problem of statistical inference for Fréchet means in the Wasserstein space of measures on Euclidean spaces,

\mathcal W_2 ( \mathbb R^d )

. This question arises naturally from the problem of separating amplitude and phase variation i ...

EPFL2017

Extremum

Graph Chatbot

Chattez avec Graph Search

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

Second-order guarantees in centralized, federated and decentralized nonconvex optimization

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

Concentration phenomena for a fractional Choquard equation with magnetic field

Adaptive damage retention mechanism enables healthier yeast population

Polynomial Escape-Time From Saddle Points In Distributed Non-Convex Optimization

Test and lower bound modeling of keyed shear connections in RC shear walls

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Fréchet means in Wasserstein space

Second-order guarantees in centralized, federated and decentralized nonconvex optimization

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Adaptive damage retention mechanism enables healthier yeast population

Concentration phenomena for a fractional Choquard equation with magnetic field

Polynomial Escape-Time From Saddle Points In Distributed Non-Convex Optimization

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Fréchet means in Wasserstein space

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

Test and lower bound modeling of keyed shear connections in RC shear walls