
Learning with Random Learning Rates
Hyperparameter tuning is a bothersome step in the training of deep learn...
read it

TRADI: Tracking deep neural network weight distributions
During training, the weights of a Deep Neural Network (DNN) are optimize...
read it

A Generalized Asymmetric Dualfront Model for Active Contours and Image Segmentation
The geodesic distancebased dualfront curve evolution model is a powerf...
read it

Learning a Discriminant Latent Space with Neural Discriminant Analysis
Discriminative features play an important role in image and object class...
read it

Spatiotemporal Learning with Arrays of Analog Nanosynapses
Emerging nanodevices such as resistive memories are being considered for...
read it

Exploiting the Shortterm to Longterm Plasticity Transition in Memristive Nanodevice Learning Architectures
Memristive nanodevices offer new frontiers for computing systems that un...
read it

The quasispecies regime for the simple genetic algorithm with roulettewheel selection
We introduce a new parameter to discuss the behavior of a genetic algori...
read it

Global Minimum for a Finsler Elastica Minimal Path Approach
In this paper, we propose a novel curvaturepenalized minimal path model...
read it

Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
This paper is a comment on the survey paper by Biau and Scornet (2016) a...
read it

Reconstructing undirected graphs from eigenspaces
In this paper, we aim at recovering an undirected weighted graph of N ve...
read it

Random Forests for Big Data
Big Data is one of the major challenges of statistical science and has n...
read it

Aggregation of predictors for nonstationary sublinear processes and online adaptive forecasting of time varying autoregressive processes
In this work, we study the problem of aggregating a finite number of pre...
read it

Analytical shape determination of fiberlike objects with Virtual Image Correlation
This paper reports a method allowing for the determination of the shape ...
read it

On relations between extreme value statistics, extreme random matrices and PeakOverThreshold method
Using the thinning method, we explain the link between classical Fisher...
read it

Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation
We consider a stochastic individualbased model in continuous time to de...
read it

2CoBel : An Efficient Belief Function Extension for Twodimensional Continuous Spaces
This paper introduces an innovative approach for handling 2D compound hy...
read it

Parameterized Model Checking Modulo Explicit Weak Memory Models
We present a modular framework for model checking parameterized arrayba...
read it

Uniform regret bounds over R^d for the sequential linear regression problem with the square loss
We consider the setting of online linear regression for arbitrary determ...
read it

Nonasymptotic control of the MLE for misspecified nonparametric hidden Markov models
We study the problem of estimating an unknown time process distribution ...
read it

Partial recovery bounds for clustering with the relaxed Kmeans
We investigate the clustering performances of the relaxed Kmeans in the ...
read it

Adaptive optimal kernel density estimation for directional data
We focus on the nonparametric density estimation problem with directiona...
read it

The algorithmic hardness threshold for continuous random energy models
We prove an algorithmic hardness result for finding lowenergy states in...
read it

Relative concentration bounds for the kernel matrix spectrum
In this paper, we study the concentration properties of the kernel matri...
read it

Sumofsquareofrationalfunction based representations of positive semidefinite polynomial matrices
The paper proves sumofsquareofrationalfunction based representation...
read it

Efficient uniform generation of random derangements with the expected distribution of cycle lengths
We show how to generate random derangements with the expected distributi...
read it

Robust high dimensional learning for Lipschitz and convex losses
We establish risk bounds for Regularized Empirical Risk Minimizers (RERM...
read it

Polynomial Cost of Adaptation for X Armed Bandits
In the context of stochastic continuumarmed bandits, we present an algo...
read it

Estimating the division rate from indirect measurements of single cells
Is it possible to estimate the dependence of a growing and dividing popu...
read it

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction
One of the most exciting applications of Spin Torque Magnetoresistive Ra...
read it

Latent Distance Estimation for Random Geometric Graphs
Random geometric graphs are a popular choice for a latent points generat...
read it

A stability property for a monodimensional three velocities scheme with relative velocity
In this contribution, we study a stability notion for a fundamental line...
read it

Interpreting a Penalty as the Influence of a Bayesian Prior
In machine learning, it is common to optimize the parameters of a probab...
read it

Aggregated hold out for sparse linear regression with a robust loss function
Sparse linear regression methods generally have a free hyperparameter wh...
read it

A mixed finite element discretization of dynamical optimal transport
In this paper we introduce a new class of finite element discretizations...
read it

Hierarchical robust aggregation of sales forecasts at aggregated levels in ecommerce, based on exponential smoothing and Holt's linear trend method
We revisit the interest of classical statistical techniques for sales fo...
read it

OvAINN: Continual Learning with Invertible Neural Networks
In the field of Continual Learning, the objective is to learn several ta...
read it
ParisSud University
ParisSud University, also known as University of Paris — XI, is a French research university distributed among several campuses in the southern suburbs of Paris including Orsay, Cachan, ChâtenayMalabry, Sceaux and KremlinBicêtre campuses.