Pascal Bianchi

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 32

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

SIAM J. Optim.

Publications

Victor Priser, Pascal Bianchi, Adil Salim
Long-time asymptotics of noisy SVGD outside the population limit. CoRR (2024)
Pascal Bianchi, Kevin Elgui, François Portier
Conditional independence testing via weighted partial copulas. J. Multivar. Anal. 193 (2023)
Anas Barakat, Pascal Bianchi, Julien Lehmann
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. AISTATS (2022)
Anas Barakat, Pascal Bianchi
Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization. SIAM J. Optim. 31 (1) (2021)
Anas Barakat, Pascal Bianchi, Julien Lehmann
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. CoRR (2021)
Pascal Bianchi, Walid Hachem, Adil Salim
A fully stochastic primal-dual algorithm. Optim. Lett. 15 (2) (2021)
Pascal Bianchi, Walid Hachem, Sholom Schechtman
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions. CoRR (2020)
Kevin Elgui, Pascal Bianchi, Olivier Isson, François Portier, Renaud Marty
Metric Learning for Fingerprint RSSI-Localization. PLANS (2020)
Kevin Elgui, Pascal Bianchi, François Portier, Olivier Isson
Learning methods for RSSI-based geolocation: A comparative study. Pervasive Mob. Comput. 67 (2020)
Anas Barakat, Pascal Bianchi
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. ACML (2020)
Anas Barakat, Pascal Bianchi
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization. CoRR (2019)
Kevin Elgui, Pascal Bianchi, François Portier, Olivier Isson
Learning Methods for RSSI-based Geolocation: A Comparative Study. EUSIPCO (2019)
Olivier Fercoq, Pascal Bianchi
A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions. SIAM J. Optim. 29 (1) (2019)
Adil Salim, Pascal Bianchi, Walid Hachem
Snake: A Stochastic Proximal Gradient Algorithm for Regularized Problems Over Large Graphs. IEEE Trans. Autom. Control. 64 (5) (2019)
Celine Meillier, Rita Ammanouil, André Ferrari, Pascal Bianchi
Distribution strategies for very large 3D image deconvolution algorithms. Signal Process. Image Commun. 67 (2018)
Adil Salim, Pascal Bianchi, Walid Hachem
A Constant Step Stochastic Douglas-Rachford Algorithm with Application to non Separable Regularizations. ICASSP (2018)
Anas Barakat, Pascal Bianchi
Convergence of the ADAM algorithm from a Dynamical System Viewpoint. CoRR (2018)
Adil Salim, Pascal Bianchi, Walid Hachem
Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs. CoRR (2017)
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO (2017)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks. IEEE Trans. Signal Process. 65 (11) (2017)
Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard
An adaptive distributed asynchronous algorithm with application to target localization. CAMSAP (2017)
Adil Salim, Pascal Bianchi, Walid Hachem, Jérémie Jakubowicz
A stochastic proximal point algorithm for total variation regularization over large scale graphs. CDC (2016)
Celine Meillier, Pascal Bianchi, Walid Hachem
Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images. EUSIPCO (2016)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
On Mobility Parameter Configurations That Can Lead to Chained Handovers. IEEE Trans. Commun. 64 (12) (2016)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization. IEEE Trans. Autom. Control. 61 (10) (2016)
Pascal Bianchi
Ergodic Convergence of a Stochastic Proximal Point Algorithm. SIAM J. Optim. 26 (4) (2016)
Pascal Bianchi, Walid Hachem
Dynamical Behavior of a Stochastic Forward-Backward Algorithm Using Random Monotone Operators. J. Optim. Theory Appl. 171 (1) (2016)
Walid Ben-Ameur, Pascal Bianchi, Jérémie Jakubowicz
Robust Distributed Consensus Using Total Variation. IEEE Trans. Autom. Control. 61 (6) (2016)
Ovidiu Constantin Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
SON Coordination in Heterogeneous Networks: A Reinforcement Learning Framework. IEEE Trans. Wirel. Commun. 15 (9) (2016)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. IEEE Trans. Autom. Control. 61 (4) (2016)
Pascal Bianchi, Olivier Fercoq
Using big steps in coordinate descent primal-dual algorithms. CDC (2016)
Gemma Morral, Pascal Bianchi
Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. Signal Process. 120 (2016)
Pascal Bianchi
Ergodic convergence of a stochastic proximal point algorithm. CoRR (2015)
Guillaume Papa, Pascal Bianchi, Stéphan Clémençon
Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent. ALT (2015)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
SON conflict diagnosis in heterogeneous networks. PIMRC (2015)
Gemma Morral, Pascal Bianchi
Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. CoRR (2015)
Pascal Bianchi
A stochastic proximal point algorithm: convergence and application to convex optimization. CAMSAP (2015)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A stochastic coordinate descent primal-dual algorithm and applications. MLSP (2014)
Pascal Bianchi, Walid Hachem
A primal-dual algorithm for distributed optimization. CDC (2014)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A stochastic primal-dual algorithm for distributed asynchronous composite optimization. GlobalSIP (2014)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks. CDC (2014)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
Low complexity SON coordination using reinforcement learning. GLOBECOM (2014)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
SON Coordination for parameter conflict resolution: A reinforcement learning framework. WCNC Workshops (2014)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in Multi-Agent Networks. CoRR (2014)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
Coordinating SON Instances: A Reinforcement Learning Framework. VTC Fall (2014)
Ovidiu Constantin Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
SON conflict resolution using reinforcement learning with state aggregation. AllThingsCellular@SIGCOMM (2014)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization. CoRR (2014)
Ovidiu Iacoboaiea, Berna Sayraç, Sana Ben Jemaa, Pascal Bianchi
Coordinating SON instances: Reinforcement learning with distributed value function. PIMRC (2014)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Linear convergence rate for distributed optimization with the alternating direction method of multipliers. CDC (2014)
Gemma Morral, Ndeye Amy Dieng, Pascal Bianchi
Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. ICASSP (2014)
Pascal Bianchi, Jérémie Jakubowicz
Adaptive Learning Vector Quantization for Online Parametric Estimation. IEEE Trans. Signal Process. 61 (12) (2013)
Walid Ben-Ameur, Pascal Bianchi, Jérémie Jakubowicz
A Total Variation based approach for robust consensus in distributed networks. CDC (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers CoRR (2013)
Pascal Bianchi, Jérémie Jakubowicz
Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization. IEEE Trans. Autom. Control. 58 (2) (2013)
Abbas Ataya, Pierre Jallon, Pascal Bianchi, Maeva Doron
Improving activity recognition using temporal coherence. EMBC (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. CoRR (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Asynchronous distributed optimization using a randomized alternating direction method of multipliers. CDC (2013)
Pascal Bianchi, Gersende Fort, Walid Hachem
Performance of a Distributed Stochastic Approximation Algorithm. IEEE Trans. Inf. Theory 59 (11) (2013)
Pascal Bianchi, Stéphan Clémençon, Gemma Morral, Jérémie Jakubowicz
On-line learning gossip algorithm in multi-agent systems with local decision rules. IEEE BigData (2013)
Maeva Doron, Thomas Bastian, Aurelia Maire, Julien Dugas, Emilie Perrin, Florence Gris, Régis Guillemaud, Thibault Deschamps, Pascal Bianchi, Yanis Caritu, Chantal Simon, Pierre Jallon
Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project). EMBC (2013)
Gemma Morral, Pascal Bianchi, Jérémie Jakubowicz
On-line gossip-based distributed expectation maximization algorithm. SSP (2012)
Nicolas Carlési, Pascal Bianchi
Distributed coordination of a formation of heterogeneous agents with individual regrets and asynchronous communications. IROS (2012)
Pascal Bianchi, Gersende Fort, Walid Hachem
Performance of a Distributed Stochastic Approximation Algorithm CoRR (2012)
Laurent Oudre, Jérémie Jakubowicz, Pascal Bianchi, Chantal Simon
Classification of Periodic Activities Using the Wasserstein Distance. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Walid Ben-Ameur, Pascal Bianchi, Jérémie Jakubowicz
Robust average consensus using Total Variation Gossip Algorithm. VALUETOOLS (2012)
Gemma Morral, Pascal Bianchi, Jérémie Jakubowicz
Asynchronous distributed principal component analysis using stochastic approximation. CDC (2012)
Nassar Ksairi, Philippe Ciblat, Pascal Bianchi, Walid Hachem
Performance Analysis over Slow Fading Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward. IEEE Trans. Commun. 60 (7) (2012)
Gemma Morral, Pascal Bianchi, Gersende Fort, Jérémie Jakubowicz
Distributed stochastic approximation: The price of non-double stochasticity. ACSCC (2012)
Pascal Bianchi, Jérémie Jakubowicz
Distributed stochastic approximation for constrained and unconstrained optimization. VALUETOOLS (2011)
Romain Couillet, Pascal Bianchi, Jérémie Jakubowicz
Distributed convex stochastic optimization under few constraints in large networks. CAMSAP (2011)
Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
Performance analysis of a distributed Robbins-Monro algorithm for sensor networks. EUSIPCO (2011)
Pascal Bianchi, Jérémie Jakubowicz
On the Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm CoRR (2011)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks. IEEE Trans. Wirel. Commun. 10 (7) (2011)
Pascal Bianchi, Jérémie Jakubowicz, François Roueff
Linear Precoders for the Detection of a Gaussian Process in Wireless Sensors Networks. IEEE Trans. Signal Process. 59 (3) (2011)
Joffrey Villard, Pascal Bianchi
High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes. IEEE Trans. Inf. Theory 57 (8) (2011)
Pascal Bianchi, Jérémie Jakubowicz
Distributed Stochastic Approximation for Constrained and Unconstrained Optimization CoRR (2011)
Laurent Oudre, Alexandre Lung-Yut-Fong, Pascal Bianchi
Segmentation of accelerometer signals recorded during continuous treadmill walking. EUSIPCO (2011)
Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates. ICASSP (2011)
Pascal Bianchi, Mérouane Debbah, Mylène Maïda, Jamal Najim
Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory. IEEE Trans. Inf. Theory 57 (4) (2011)
Joffrey Villard, Pascal Bianchi
High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes. CoRR (2010)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks CoRR (2010)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Resource allocation for downlink cellular OFDMA systems: part II: practical algorithms and optimal reuse factor. IEEE Trans. Signal Process. 58 (2) (2010)
Pascal Bianchi, Jérémie Jakubowicz, François Roueff
Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors CoRR (2010)
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pablo Piantanida
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes CoRR (2010)
Joffrey Villard, Pascal Bianchi
High-rate vector quantization for the Neyman-Pearson detection of some stationary mixing processes. ISIT (2010)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Resource allocation for downlink cellular OFDMA systems: part I: optimal allocation. IEEE Trans. Signal Process. 58 (2) (2010)
Walid Hachem, Pascal Bianchi, Philippe Ciblat
Outage Probability-Based Power and Time Optimization for Relay Networks. IEEE Trans. Signal Process. 57 (2) (2009)
Eric A. Bouton, Nassar Ksairi, Philippe Ciblat, Pascal Bianchi, Walid Hachem
On the Outage Probability Optimization in MISO Rician Channels. WiMob (2009)
Pascal Bianchi, Mérouane Debbah, Mylène Maïda, Jamal Najim
Performance of Statistical Tests for Source Detection using Random Matrix Theory CoRR (2009)
Nassar Ksairi, Philippe Ciblat, Pascal Bianchi, Walid Hachem
Performance Analysis over Slow Fading Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward CoRR (2009)
Mounir Ghogho, Philippe Ciblat, Ananthram Swami, Pascal Bianchi
Training design for repetitive-slot-based CFO estimation in OFDM. IEEE Trans. Signal Process. 57 (12) (2009)
Serdar Sezginer, Pascal Bianchi
Asymptotically Efficient Reduced Complexity Frequency Offset and Channel Estimators for Uplink MIMO-OFDMA Systems. IEEE Trans. Signal Process. 56 (3) (2008)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Resource Allocation for Downlink Cellular OFDMA Systems: Part I - Optimal Allocation CoRR (2008)
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Resource Allocation for Downlink Cellular OFDMA Systems: Part II - Asymptotic Analysis and Applications CoRR (2008)
Leonardo S. Cardoso, Mérouane Debbah, Pascal Bianchi, Jamal Najim
Cooperative spectrum sensing using random matrix theory. ISWPC (2008)
Philippe Ciblat, Pascal Bianchi, Mounir Ghogho
Training Sequence Optimization for Joint Channel and Frequency Offset Estimation. IEEE Trans. Signal Process. 56 (8-1) (2008)
Leonardo S. Cardoso, Mérouane Debbah, Pascal Bianchi, Jamal Najim
Cooperative Spectrum Sensing Using Random Matrix Theory CoRR (2008)
Walid Hachem, Pascal Bianchi, Philippe Ciblat
Outage probability optimization of certain wireless relaying protocols. ITW (2008)
Pascal Bianchi, Philippe Loubaton
On the Blind Equalization of Continuous Phase Modulated Signals Using the Constant Modulus Criterion. IEEE Trans. Signal Process. 55 (3) (2007)
Serdar Sezginer, Pascal Bianchi
Asymptotically Efficient Reduced-Complexity Frequency Offset Estimation for Uplink MIMO-OFDMA Systems. ICC (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pascal Bianchi