Marc Lelarge | DeepAI

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Florent Krzakala
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Lenka Zdeborová
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Jiaming Xu
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R. Srikant
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Se-Young Yun
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Emilie Kaufmann
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Alexandre Proutiere
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Stéphane d'Ascoli
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∙ 04/26/2023

FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems

Model-based reinforcement learning is a powerful tool, but collecting da...

0 Matthieu Blanke, et al. ∙

∙ 01/19/2023

Convergence beyond the over-parameterized regime using Rayleigh quotients

In this paper, we present a new strategy to prove the convergence of dee...

0 David A. R. Robin, et al. ∙

∙ 04/13/2022

Online greedy identification of linear dynamical systems

This work addresses the problem of exploration in an unknown environment...

0 Matthieu Blanke, et al. ∙

∙ 03/18/2022

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints

For a very broad range of problems, recommendation algorithms have been ...

0 Eric Daoud, et al. ∙

∙ 07/15/2021

Correlation detection in trees for partial graph alignment

Motivated by alignment of correlated sparse random graphs, we study a hy...

0 Luca Ganassali, et al. ∙

∙ 02/04/2021

Impossibility of Partial Recovery in the Graph Alignment Problem

Random graph alignment refers to recovering the underlying vertex corres...

0 Luca Ganassali, et al. ∙

∙ 11/03/2020

Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems

Scarcity of training data for task-oriented dialogue systems is a well k...

0 Stéphane d'Ascoli, et al. ∙

∙ 06/28/2020

Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks

Various classes of Graph Neural Networks (GNN) have been proposed and sh...

12 Waïss Azizian, et al. ∙

∙ 11/09/2019

Conditioned Query Generation for Task-Oriented Dialogue Systems

Scarcity of training data for task-oriented dialogue systems is a well k...

7 Stéphane d'Ascoli, et al. ∙

∙ 07/08/2019

Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting

Semi-supervised learning (SSL) uses unlabeled data for training and has ...

1 Marc Lelarge, et al. ∙

∙ 09/28/2018

Weighted Spectral Embedding of Graphs

We present a novel spectral embedding of graphs that incorporates weight...

8 Thomas Bonald, et al. ∙

∙ 06/20/2018

InfoCatVAE: Representation Learning with Categorical Variational Autoencoders

This paper describes InfoCatVAE, an extension of the variational autoenc...

24 Edouard Pineau, et al. ∙

∙ 03/26/2018

Deep Representation for Patient Visits from Electronic Health Records

We show how to learn low-dimensional representations (embeddings) of pat...

0 Jean-Baptiste Escudié, et al. ∙

∙ 01/09/2018

Optimal Content Replication and Request Matching in Large Caching Systems

We consider models of content delivery networks in which the servers are...

0 Arpan Mukhopadhyay, et al. ∙

∙ 12/09/2017

A Streaming Algorithm for Graph Clustering

We introduce a novel algorithm to perform graph clustering in the edge s...

0 Alexandre Hollocou, et al. ∙

∙ 09/08/2016

Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models

Motivated by community detection, we characterise the spectrum of the no...

0 Lennart Gulikers, et al. ∙

∙ 05/20/2016

Fast Randomized Semi-Supervised Clustering

We consider the problem of clustering partially labeled data from a mini...

0 Alaa Saade, et al. ∙

∙ 11/02/2015

An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model

We consider a Degree-Corrected Planted-Partition model: a random graph o...

0 Lennart Gulikers, et al. ∙

∙ 06/29/2015

A spectral method for community detection in moderately-sparse degree-corrected stochastic block models

We consider community detection in Degree-Corrected Stochastic Block Mod...

0 Lennart Gulikers, et al. ∙

∙ 06/12/2015

A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks

This paper presents a novel spectral algorithm with additive clustering ...

0 Emilie Kaufmann, et al. ∙

∙ 04/13/2015

Streaming, Memory Limited Matrix Completion with Noise

In this paper, we consider the streaming memory-limited matrix completio...

0 Se-Young Yun, et al. ∙

∙ 02/16/2015

Clustering and Inference From Pairwise Comparisons

Given a set of pairwise comparisons, the classical ranking problem compu...

0 Rui Wu, et al. ∙

∙ 02/11/2015

Combinatorial Bandits Revisited

This paper investigates stochastic and adversarial combinatorial multi-a...

0 Richard Combes, et al. ∙

∙ 02/11/2015

Reconstruction in the Labeled Stochastic Block Model

The labeled stochastic block model is a random graph model representing ...

0 Marc Lelarge, et al. ∙

∙ 06/26/2014

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results

The classical setting of community detection consists of networks exhibi...

0 Jiaming Xu, et al. ∙

∙ 10/16/2012

Leveraging Side Observations in Stochastic Bandits

This paper considers stochastic bandits with side observations, a model ...

0 Stephane Caron, et al. ∙

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