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On the robustness, convergence, and minimax performance of instantaneous-gradient adaptive filters

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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

On the robustness, convergence, and minimax performance of instantaneous-gradient adaptive filters

Graph Chatbot

Chattez avec Graph Search

Fréchet means in Wasserstein space

Simultaneous Approximation of Polynomials

Space lower bounds for low-stretch greedy embeddings

Stochastic Spectral Descent for Discrete Graphical Models

Obstacles For Splitting Multidimensional Necklaces

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

Dynamics of particles with anisotropic mass depending on time and position

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

Obstacles For Splitting Multidimensional Necklaces

Space lower bounds for low-stretch greedy embeddings

Simultaneous Approximation of Polynomials

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

Fréchet means in Wasserstein space

Stochastic Spectral Descent for Discrete Graphical Models

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

Dynamics of particles with anisotropic mass depending on time and position