Pascal Bianchi

Orcid: 0000-0002-7156-0297

According to our database1, Pascal Bianchi authored at least 94 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions.
Math. Oper. Res., 2024

Long-time asymptotics of noisy SVGD outside the population limit.
CoRR, 2024

2023
Conditional independence testing via weighted partial copulas.
J. Multivar. Anal., 2023

2022
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization.
SIAM J. Optim., 2021

A fully stochastic primal-dual algorithm.
Optim. Lett., 2021

2020
Learning methods for RSSI-based geolocation: A comparative study.
Pervasive Mob. Comput., 2020

Convergence of constant step stochastic gradient descent for non-smooth non-convex functions.
CoRR, 2020

Metric Learning for Fingerprint RSSI-Localization.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Snake: A Stochastic Proximal Gradient Algorithm for Regularized Problems Over Large Graphs.
IEEE Trans. Autom. Control., 2019

A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions.
SIAM J. Optim., 2019

Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization.
CoRR, 2019

2018
Distribution strategies for very large 3D image deconvolution algorithms.
Signal Process. Image Commun., 2018

Convergence of the ADAM algorithm from a Dynamical System Viewpoint.
CoRR, 2018

A Constant Step Stochastic Douglas-Rachford Algorithm with Application to non Separable Regularizations.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks.
IEEE Trans. Signal Process., 2017

Distributed approach for deblurring large images with shift-variant blur.
Proceedings of the 25th European Signal Processing Conference, 2017

An adaptive distributed asynchronous algorithm with application to target localization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
SON Coordination in Heterogeneous Networks: A Reinforcement Learning Framework.
IEEE Trans. Wirel. Commun., 2016

On Mobility Parameter Configurations That Can Lead to Chained Handovers.
IEEE Trans. Commun., 2016

Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers.
IEEE Trans. Autom. Control., 2016

A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization.
IEEE Trans. Autom. Control., 2016

Robust Distributed Consensus Using Total Variation.
IEEE Trans. Autom. Control., 2016

Distributed on-line multidimensional scaling for self-localization in wireless sensor networks.
Signal Process., 2016

Ergodic Convergence of a Stochastic Proximal Point Algorithm.
SIAM J. Optim., 2016

Dynamical Behavior of a Stochastic Forward-Backward Algorithm Using Random Monotone Operators.
J. Optim. Theory Appl., 2016

Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images.
Proceedings of the 24th European Signal Processing Conference, 2016

A stochastic proximal point algorithm for total variation regularization over large scale graphs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Using big steps in coordinate descent primal-dual algorithms.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
SON conflict diagnosis in heterogeneous networks.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

A stochastic proximal point algorithm: convergence and application to convex optimization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization.
CoRR, 2014

SON Coordination for parameter conflict resolution: A reinforcement learning framework.
Proceedings of the 2014 IEEE Wireless Communications and Networking Conference Workshops, 2014

Coordinating SON Instances: A Reinforcement Learning Framework.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

SON conflict resolution using reinforcement learning with state aggregation.
Proceedings of the 4th workshop on All things cellular: operations, 2014

Coordinating SON instances: Reinforcement learning with distributed value function.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

A stochastic coordinate descent primal-dual algorithm and applications.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Distributed on-line multidimensional scaling for self-localization in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Low complexity SON coordination using reinforcement learning.
Proceedings of the IEEE Global Communications Conference, 2014

A stochastic primal-dual algorithm for distributed asynchronous composite optimization.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Linear convergence rate for distributed optimization with the alternating direction method of multipliers.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A primal-dual algorithm for distributed optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Adaptive Learning Vector Quantization for Online Parametric Estimation.
IEEE Trans. Signal Process., 2013

Performance of a Distributed Stochastic Approximation Algorithm.
IEEE Trans. Inf. Theory, 2013

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization.
IEEE Trans. Autom. Control., 2013

Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project).
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Improving activity recognition using temporal coherence.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Asynchronous distributed optimization using a randomized alternating direction method of multipliers.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A Total Variation based approach for robust consensus in distributed networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On-line learning gossip algorithm in multi-agent systems with local decision rules.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Performance Analysis over Slow Fading Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward.
IEEE Trans. Commun., 2012

Classification of Periodic Activities Using the Wasserstein Distance.
IEEE Trans. Biomed. Eng., 2012

Robust average consensus using Total Variation Gossip Algorithm.
Proceedings of the 6th International ICST Conference on Performance Evaluation Methodologies and Tools, 2012

On-line gossip-based distributed expectation maximization algorithm.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Distributed coordination of a formation of heterogeneous agents with individual regrets and asynchronous communications.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Asynchronous distributed principal component analysis using stochastic approximation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed stochastic approximation: The price of non-double stochasticity.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks.
IEEE Trans. Wirel. Commun., 2011

Linear Precoders for the Detection of a Gaussian Process in Wireless Sensors Networks.
IEEE Trans. Signal Process., 2011

High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes.
IEEE Trans. Inf. Theory, 2011

Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory.
IEEE Trans. Inf. Theory, 2011

On the Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm
CoRR, 2011

Distributed stochastic approximation for constrained and unconstrained optimization.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates.
Proceedings of the IEEE International Conference on Acoustics, 2011

Segmentation of accelerometer signals recorded during continuous treadmill walking.
Proceedings of the 19th European Signal Processing Conference, 2011

Performance analysis of a distributed Robbins-Monro algorithm for sensor networks.
Proceedings of the 19th European Signal Processing Conference, 2011

Distributed convex stochastic optimization under few constraints in large networks.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Resource allocation for downlink cellular OFDMA systems: part II: practical algorithms and optimal reuse factor.
IEEE Trans. Signal Process., 2010

Resource allocation for downlink cellular OFDMA systems: part I: optimal allocation.
IEEE Trans. Signal Process., 2010

High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
CoRR, 2010

Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors
CoRR, 2010

High-rate vector quantization for the Neyman-Pearson detection of some stationary mixing processes.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Outage Probability-Based Power and Time Optimization for Relay Networks.
IEEE Trans. Signal Process., 2009

Training design for repetitive-slot-based CFO estimation in OFDM.
IEEE Trans. Signal Process., 2009

Performance of Statistical Tests for Source Detection using Random Matrix Theory
CoRR, 2009

On the Outage Probability Optimization in MISO Rician Channels.
Proceedings of the 5th IEEE International Conference on Wireless and Mobile Computing, 2009

2008
Asymptotically Efficient Reduced Complexity Frequency Offset and Channel Estimators for Uplink MIMO-OFDMA Systems.
IEEE Trans. Signal Process., 2008

Training Sequence Optimization for Joint Channel and Frequency Offset Estimation.
IEEE Trans. Signal Process., 2008

Resource Allocation for Downlink Cellular OFDMA Systems: Part II - Asymptotic Analysis and Applications
CoRR, 2008

Outage probability optimization of certain wireless relaying protocols.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Cooperative spectrum sensing using random matrix theory.
Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

2007
Asymptotic Cramér-Rao Bounds and Training Design for Uplink MIMO-OFDMA Systems With Frequency Offsets.
IEEE Trans. Signal Process., 2007

On the Blind Equalization of Continuous Phase Modulated Signals Using the Constant Modulus Criterion.
IEEE Trans. Signal Process., 2007

Asymptotically Efficient Reduced-Complexity Frequency Offset Estimation for Uplink MIMO-OFDMA Systems.
Proceedings of IEEE International Conference on Communications, 2007

2006
A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter.
Signal Process., 2006

CramÉR-Rao Bound and Training Sequence Selection for Mimo-Ofdma Transmissions Impaired by Frequency Offsets.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
On the blind estimation of the parameters of continuous phase modulated signals.
IEEE J. Sel. Areas Commun., 2005

2004
Non data-aided estimation of the modulation index of continuous phase modulations.
IEEE Trans. Signal Process., 2004

Blind mimo detection of convolutively mixed CPM sources.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Blind joint estimation of the technical parameters of continuous phase modulated signals.
Proceedings of the Global Telecommunications Conference, 2003

2002
Performances of a non data aided estimator of the modulation index of continuous phase modulations.
Proceedings of the IEEE International Conference on Acoustics, 2002


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