Cédric Archambeau

Jean-Philippe Thiran, Michel Verleysen, Cédric Archambeau, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Robust Bayesian Matrix Factorisation

Guillaume Bouchard, Cédric Archambeau, Balaji Lakshminarayanan, 2011, AISTATS.

Robust probabilistic projections

Michel Verleysen, Cédric Archambeau, Nicolas Delannay, 2006, ICML.

Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation

Cédric Archambeau, Rodolphe Jenatton, Jim C. Huang, 2016, KDD.

Towards security limits in side-channel attacks (with an application to block ciphers)

Eric Peeters, François-Xavier Standaert, Cédric Archambeau, 2006 .

Adaptive Algorithms for Online Convex Optimization with Long-term Constraints

Cédric Archambeau, Rodolphe Jenatton, Jim C. Huang, 2015, ICML.

Bayesian Optimization with Tree-structured Dependencies

Matthias W. Seeger, Javier González, Cédric Archambeau, 2017, ICML.

An interpretable latent variable model for attribute applicability in the Amazon catalogue pdf

Cédric Archambeau, Dustin Lange, Tammo Rukat, 2017, ArXiv.

Sparse probabilistic projections

Francis R. Bach, Cédric Archambeau, F. Bach, 2008, NIPS.

Template Attacks in Principal Subspaces

Eric Peeters, Jean-Jacques Quisquater, François-Xavier Standaert, 2006, CHES.

Local Vector-based Models for Sense Discrimination

Michel Verleysen, Pierre Dupont, Cédric Archambeau, 2005 .

Scalable Hyperparameter Transfer Learning

Matthias W. Seeger, Cédric Archambeau, Rodolphe Jenatton, 2018, NeurIPS.

Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures

Michel Verleysen, Maurizio Valle, Cédric Archambeau, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Variational Inference for Diffusion Processes

Dan Cornford, Yuan Shen, John Shawe-Taylor, 2007, NIPS.

Manifold Constrained Variational Mixtures

Michel Verleysen, Cédric Archambeau, C. Archambeau, 2005, ICANN.

Gaussian Process Approximations of Stochastic Differential Equations

Dan Cornford, John Shawe-Taylor, Manfred Opper, 2007, Gaussian Processes in Practice.

Manifold Constrained Finite Gaussian Mixtures

Michel Verleysen, Cédric Archambeau, C. Archambeau, 2005, IWANN.

Supervised nonparametric information theoretic classification

Jean-Philippe Thiran, Cédric Archambeau, Torsten Butz, 2004, ICPR 2004.

Towards Security Limits in Side-Channel Attacks

Eric Peeters, Jean-Jacques Quisquater, François-Xavier Standaert, 2006, CHES.

Probabilistic models in noisy environments : and their application to a visual prosthesis for the blind/

Cédric Archambeau, C. Archambeau, 2005 .

CLASSIFICATION OF VISUAL SENSATIONS GENERATED ELECTRICALLY IN THE VISUAL FIELD OF THE BLIND

Michel Verleysen, Cédric Archambeau, Jean Delbeke, 2003 .

PCA and Mixtures of PCA: Improving the robustness to outliers

Michel Verleysen, Cédric Archambeau, 2007 .

Mixtures of robust probabilistic principal component analyzers

Michel Verleysen, Cédric Archambeau, Nicolas Delannay, 2008, ESANN.

Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs

Michel Verleysen, Cédric Archambeau, Nicolas Delannay, 2008, PAKDD.

Width optimization of the Gaussian kernels in Radial Basis Function Networks

Michel Verleysen, Amaury Lendasse, John Aldo Lee, 2002, ESANN.

A stochastic memoizer for sequence data

Yee Whye Teh, Frank D. Wood, Cédric Archambeau, 2009, ICML '09.

A simple transfer-learning extension of Hyperband

Fela Winkelmolen, Cédric Archambeau, Rodolphe Jenatton, 2018 .

Towards crowd-based customer service: a mixed-initiative tool for managing Q&A sites

Ji Wang, Massimo Zancanaro, Cédric Archambeau, 2014, CHI.

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor

Michel Verleysen, Cédric Archambeau, Nicolas Delannay, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Mail2Wiki: low-cost sharing and early curation from email to wikis

Guillaume Bouchard, Benjamin V. Hanrahan, Ed H. Chi, 2011, C&T.

Structured Penalties for Log-Linear Language Models

Guillaume Bouchard, Julien Mairal, Cédric Archambeau, 2013, EMNLP.

Sparse Bayesian Multi-Task Learning

Onno Zoeter, Cédric Archambeau, Shengbo Guo, 2011, NIPS.

Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods

Massimiliano Pontil, Cédric Archambeau, David T. Jones, 2009, BMC Bioinformatics.

Latent IBP Compound Dirichlet Allocation

Guillaume Bouchard, Cédric Archambeau, Balaji Lakshminarayanan, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures

Michel Verleysen, John Aldo Lee, Cédric Archambeau, 2003, ESANN.

Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind

Michel Verleysen, Cédric Archambeau, Jean Delbeke, 2004, Artif. Intell. Medicine.

Entropy Minima and Distribution Structural Modifications in Blind Separation of Multimodel Sources

Michel Verleysen, Frédéric Vrins, Cédric Archambeau, 2004 .

Bringing Representativeness into Social Media Monitoring and Analysis

Reinhard Riedl, Guillaume Bouchard, Michael Kaschesky, 2013, 2013 46th Hawaii International Conference on System Sciences.

Plackett-Luce regression: A new Bayesian model for polychotomous data

Cédric Archambeau, François Caron, 2012, UAI.

Overlapping Trace Norms in Multi-View Learning pdf

Guillaume Bouchard, Cédric Archambeau, Behrouz Behmardi, 2014, ArXiv.

Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?

Michel Verleysen, Frédéric Vrins, Cédric Archambeau, 2004, ESANN.

Flexible and Robust Bayesian Classification by Finite Mixture Models

Michel Verleysen, Frédéric Vrins, Cédric Archambeau, 2004, ESANN.

Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages

François-Xavier Standaert, Cédric Archambeau, C. Archambeau, 2008, CHES.

One-Pass Ranking Models for Low-Latency Product Recommendations

Cédric Archambeau, Rodolphe Jenatton, Antonino Freno, 2015, KDD.

Online optimization and regret guarantees for non-additive long-term constraints pdf

Cédric Archambeau, Rodolphe Jenatton, Jim C. Huang, 2016, ArXiv.

Error Prediction with Partial Feedback

Guillaume Bouchard, Shachar Mirkin, Cédric Archambeau, 2013, ECML/PKDD.

A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems

Dan Cornford, Yuan Shen, John Shawe-Taylor, 2007, J. Signal Process. Syst..

Assessment ofprobability density estimation methods: Parzen windowandFinite Gaussian Mixtures

Michel Verleysen, Maurizio Valle, Cédric Archambeau, 2006 .

The sequence memoizer

Frank D. Wood, Cédric Archambeau, Frank Wood, 2011, Commun. ACM.

Towards robust episodic meta-learning

Cédric Archambeau, Beyza Ermis, Giovanni Zappella, 2021, UAI.

Fully nonparametric probability density function estimation with finite Gaussian mixture models

Michel Verleysen, Cédric Archambeau, C. Archambeau, 2003 .

The variational G aussian approximation revisited

Manfred Opper, Cédric Archambeau, 2009 .