
Smoothing Structured Decomposable Circuits
We study the task of smoothing a circuit, i.e., ensuring that all childr...
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Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Frequencyspecific patterns of neural activity are traditionally interpr...
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Smooth PrimalDual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
We propose a new randomized coordinate descent method for a convex optim...
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Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Our goal is to improve variance reducing stochastic methods through bett...
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Data Stream Classification using Random Feature Functions and Novel Method Combinations
Big Data streams are being generated in a faster, bigger, and more commo...
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Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
Along with the recent advances in scalable Markov Chain Monte Carlo meth...
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A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Recently, impressive denoising results have been achieved by Bayesian ap...
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Learning the Morphology of Brain Signals Using AlphaStable Convolutional Sparse Coding
Neural timeseries data contain a wide variety of prototypical signal wa...
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Mass Volume Curves and Anomaly Ranking
This paper aims at formulating the issue of ranking multivariate unlabel...
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Bernoulli Rank1 Bandits for Click Feedback
The probability that a user will click a search result depends both on i...
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Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs
A regularized optimization problem over a large unstructured graph is st...
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Stochastic Rank1 Bandits
We propose stochastic rank1 bandits, a class of online learning problem...
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The iterative reweighted MixedNorm Estimate for spatiotemporal MEG/EEG source reconstruction
Source imaging based on magnetoencephalography (MEG) and electroencephal...
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High Order Stochastic Graphlet Embedding for GraphBased Pattern Recognition
Graphbased methods are known to be successful for pattern description a...
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Interactive Semantic Featuring for Text Classification
In text classification, dictionaries can be used to define humancompreh...
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Relaxationbased revision operators in description logics
As ontologies and description logics (DLs) reach out to a broader audien...
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A Minimax Optimal Algorithm for Crowdsourcing
We consider the problem of accurately estimating the reliability of work...
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Exploring Structure for LongTerm Tracking of Multiple Objects in Sports Videos
In this paper, we propose a novel approach for exploiting structural rel...
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A Streaming Algorithm for Crowdsourced Data Classification
We propose a streaming algorithm for the binary classification of data b...
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Expressing social attitudes in virtual agents for social training games
The use of virtual agents in social coaching has increased rapidly in th...
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CoClustering NetworkConstrained Trajectory Data
Recently, clustering moving object trajectories kept gaining interest fr...
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AUC Optimisation and Collaborative Filtering
In recommendation systems, one is interested in the ranking of the predi...
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Scalingup Empirical Risk Minimization: Optimization of Incomplete Ustatistics
In a wide range of statistical learning problems such as ranking, cluste...
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Probabilistic lowrank matrix completion on finite alphabets
The task of reconstructing a matrix given a sample of observedentries is...
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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
The computational complexity of kernel methods has often been a major ba...
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Similarity Learning for HighDimensional Sparse Data
A good measure of similarity between data points is crucial to many task...
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On the Complexity of Best Arm Identification in MultiArmed Bandit Models
The stochastic multiarmed bandit model is a simple abstraction that has...
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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...
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A Distributed FrankWolfe Algorithm for CommunicationEfficient Sparse Learning
Learning sparse combinations is a frequent theme in machine learning. In...
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Online Matrix Completion Through Nuclear Norm Regularisation
It is the main goal of this paper to propose a novel method to perform m...
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An SIR Graph Growth Model for the Epidemics of Communicable Diseases
It is the main purpose of this paper to introduce a graphvalued stochas...
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Learning Reputation in an Authorship Network
The problem of searching for experts in a given academic field is hugely...
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JitterAdaptive Dictionary Learning  Application to MultiTrial Neuroelectric Signals
Dictionary Learning has proven to be a powerful tool for many image proc...
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GraphBased Approaches to Clustering NetworkConstrained Trajectory Data
Even though clustering trajectory data attracted considerable attention ...
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Constrained variable clustering and the best basis problem in functional data analysis
Functional data analysis involves data described by regular functions ra...
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Automatic Relevance Determination in Nonnegative Matrix Factorization with the βDivergence
This paper addresses the estimation of the latent dimensionality in nonn...
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Online algorithms for Nonnegative Matrix Factorization with the ItakuraSaito divergence
Nonnegative matrix factorization (NMF) is now a common tool for audio so...
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Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach
This paper proposes an organized generalization of Newman and Girvan's m...
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On the Role of Contrast and Regularity in Perceptual Boundary Saliency
Mathematical Morphology proposes to extract shapes from images as connec...
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Poisson noise reduction with nonlocal PCA
Photonlimited imaging arises when the number of photons collected by a ...
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Novel paradigms for advanced distribution grid energy management
The electricity distribution grid was not designed to cope with load dyn...
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Novel market approach for locally balancing renewable energy production and flexible demand
Future electricity distribution grids will host a considerable share of ...
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Coverage Analysis and Load Balancing in HetNets with mmWave MultiRAT Small Cells
We characterize a two tier heterogeneous network, consisting of classica...
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Dual Logic Concepts based on Mathematical Morphology in Stratified Institutions: Applications to Spatial Reasoning
Several logical operators are defined as dual pairs, in different types ...
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A Streaming Algorithm for Graph Clustering
We introduce a novel algorithm to perform graph clustering in the edge s...
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A hierarchical Bayesian perspective on majorizationminimization for nonconvex sparse regression: application to M/EEG source imaging
Majorizationminimization (MM) is a standard iterative optimization tech...
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A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks
HTTP Adaptive Streaming (HAS) techniques are now the dominant solution f...
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Broadcast Strategies and Performance Evaluation of IEEE 802.15.4 in Wireless Body Area Networks WBAN
The rapid advances in sensors and ultralow power wireless communication...
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Placement Delivery Array Design for Combination Networks with Edge Caching
A major limitation for implementing coded caching techniques into practi...
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Optimal Cache Leasing from a Mobile Network Operator to a Content Provider
Caching popular content at the wireless edge is recently proposed as a m...
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