Publications associées à High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

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Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Graph Chatbot

Chattez avec Graph Search

Robust Generalization via $\alpha$-Mutual Information

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Common Information Components Analysis

Phase retrieval in high dimensions: Statistical and computational phase transitions

Converse for Multi-Server Single-Message PIR with Side Information

EEG microstates are a candidate endophenotype for schizophrenia

Statistical Physics Methods for Community Detection

Reed-Muller codes polarize

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Robust Generalization via $\alpha$-Mutual Information

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Statistical Physics Methods for Community Detection

Common Information Components Analysis

Converse for Multi-Server Single-Message PIR with Side Information

Phase retrieval in high dimensions: Statistical and computational phase transitions

Reed-Muller codes polarize

EEG microstates are a candidate endophenotype for schizophrenia