Rodolphe Jenatton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Pi-DUAL: Using privileged information to distinguish clean from noisy labels. | Ke Wang, Guillermo Ortiz-Jimnez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard |
| 2023 | ICLR | Massively Scaling Heteroscedastic Classifiers. | Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2023 | ICML | When does Privileged information Explain Away Label Noise? | Guillermo Ortiz-Jimnez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou |
| 2022 | AISTATS | Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach. | Setareh Ariafar, Justin Gilmer, Zachary Nado, Jasper Snoek, Rodolphe Jenatton, George E. Dahl |
| 2022 | ICML | Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. | Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent |
| 2021 | CVPR | Correlated Input-Dependent Label Noise in Large-Scale Image Classification. | Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent |
| 2021 | ICLR | Training independent subnetworks for robust prediction. | Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Mingbo Dai, Dustin Tran |
| 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 |
| 2020 | ICML | The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. | Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2020 | ICML | How Good is the Bayes Posterior in Deep Neural Networks Really? | Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 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 |
| 2010 | ICML | Proximal Methods for Sparse Hierarchical Dictionary Learning. | Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach |