Cdric Archambeau
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
20
Active years
2002–2024
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Explaining Probabilistic Models with Distributional Values. | Luca Franceschi, Michele Donini, Cdric Archambeau, Matthias W. Seeger |
| 2023 | EMNLP | Geographical Erasure in Language Generation. | Pola Schwbel, Jacek Golebiowski, Michele Donini, Cdric Archambeau, Danish Pruthi |
| 2023 | ICLR | PASHA: Efficient HPO and NAS with Progressive Resource Allocation. | Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cdric Archambeau, Giovanni Zappella |
| 2023 | ICML | Optimizing Hyperparameters with Conformal Quantile Regression. | David Salinas, Jacek Golebiowski, Aaron Klein, Matthias W. Seeger, Cdric Archambeau |
| 2022 | CVPR | Continual Learning with Transformers for Image Classification. | Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cdric Archambeau |
| 2021 | ACL | On the Lack of Robust Interpretability of Neural Text Classifiers. | Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cdric Archambeau, Sanjiv Das, Krishnaram Kenthapadi |
| 2021 | AIES | Fair Bayesian Optimization. | Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cdric Archambeau |
| 2021 | AISTATS | Hyperparameter Transfer Learning with Adaptive Complexity. | Samuel Horvth, Aaron Klein, Peter Richtrik, Cdric Archambeau |
| 2021 | ICML | BORE: Bayesian Optimization by Density-Ratio Estimation. | Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cdric Archambeau, Fabio Ramos |
| 2021 | KDD | Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. | Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cdric Archambeau |
| 2021 | UAI | Towards robust episodic meta-learning. | Beyza Ermis, Giovanni Zappella, Cdric Archambeau |
| 2020 | ICML | LEEP: A New Measure to Evaluate Transferability of Learned Representations. | Cuong V. Nguyen, Tal Hassner, Matthias W. Seeger, Cdric Archambeau |
| 2020 | SIGMOD | Amazon SageMaker Autopilot: a white box AutoML solution at scale. | Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed, Fela Winkelmolen, Miroslav Miladinovic, Cdric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar |
| 2017 | ICML | Bayesian Optimization with Tree-structured Dependencies. | Rodolphe Jenatton, Cdric Archambeau, Javier Gonzlez, Matthias W. Seeger |
| 2016 | ICML | Adaptive Algorithms for Online Convex Optimization with Long-term Constraints. | Rodolphe Jenatton, Jim C. Huang, Cdric Archambeau |
| 2016 | KDD | Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation. | Jim C. Huang, Rodolphe Jenatton, Cdric Archambeau |
| 2015 | KDD | One-Pass Ranking Models for Low-Latency Product Recommendations. | Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cdric Archambeau |
| 2014 | CHI | Towards crowd-based customer service: a mixed-initiative tool for managing Q&A sites. | Tiziano Piccardi, Gregorio Convertino, Massimo Zancanaro, Ji Wang, Cdric Archambeau |
| 2013 | EMNLP | Structured Penalties for Log-Linear Language Models. | Anil Kumar Nelakanti, Cdric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard |
| 2013 | WSDM | Connecting comments and tags: improved modeling of social tagging systems. | Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cdric Archambeau, Guillaume Bouchard |
| 2012 | UAI | Plackett-Luce regression: A new Bayesian model for polychotomous data. | Cdric Archambeau, Francois Caron |
| 2011 | IUI | Mail2Wiki: posting and curating Wiki content from email. | Benjamin V. Hanrahan, Thibaud Weksteen, Nicholas Kong, Gregorio Convertino, Guillaume Bouchard, Cdric Archambeau, Ed H. Chi |
| 2009 | ICML | A stochastic memoizer for sequence data. | Frank D. Wood, Cdric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh |
| 2008 | CHES | Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages. | Franois-Xavier Standaert, Cdric Archambeau |
| 2008 | PAKDD | Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. | Nicolas Delannay, Cdric Archambeau, Michel Verleysen |
| 2007 | ESANN | Mixtures of robust probabilistic principal component analyzers. | Cdric Archambeau, Nicolas Delannay, Michel Verleysen |
| 2006 | CHES | Template Attacks in Principal Subspaces. | Cdric Archambeau, Eric Peeters, Franois-Xavier Standaert, Jean-Jacques Quisquater |
| 2006 | CHES | Towards Security Limits in Side-Channel Attacks. | Franois-Xavier Standaert, Eric Peeters, Cdric Archambeau, Jean-Jacques Quisquater |
| 2006 | ICML | Robust probabilistic projections. | Cdric Archambeau, Nicolas Delannay, Michel Verleysen |
| 2006 | ICPR | Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. | Nicolas Delannay, Cdric Archambeau, Michel Verleysen |
| 2006 | ISCAS | Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. | Cdric Archambeau, Maurizio Valle, Alex Assenza, Michel Verleysen |
| 2005 | ICANN | Manifold Constrained Variational Mixtures. | Cdric Archambeau, Michel Verleysen |
| 2005 | IWANN | Manifold Constrained Finite Gaussian Mixtures. | Cdric Archambeau, Michel Verleysen |
| 2004 | ESANN | Flexible and Robust Bayesian Classification by Finite Mixture Models. | Cdric Archambeau, Frdric Vrins, Michel Verleysen |
| 2004 | ESANN | Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? | Frdric Vrins, Cdric Archambeau, Michel Verleysen |
| 2004 | ICPR | Supervised Nonparametric Information Theoretic Classification. | Cdric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran |
| 2003 | ESANN | On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. | Cdric Archambeau, John Aldo Lee, Michel Verleysen |
| 2003 | ESANN | Locally Linear Embedding versus Isotop. | John Aldo Lee, Cdric Archambeau, Michel Verleysen |
| 2002 | ESANN | Width optimization of the Gaussian kernels in Radial Basis Function Networks. | Nabil Benoudjit, Cdric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen |