Nicolas Le Roux
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Fast Convergence of Softmax Policy Mirror Ascent. | Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani |
| 2025 | EMNLP | fLSA: Learning Semantic Structures in Document Collections Using Foundation Models. | Weijia Xu, Nebojsa Jojic, Nicolas Le Roux |
| 2025 | ICML | VinePPO: Refining Credit Assignment in RL Training of LLMs. | Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux |
| 2024 | ICML | Language-guided Skill Learning with Temporal Variational Inference. | Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Ct, Xingdi Yuan |
| 2024 | ICML | Towards Modular LLMs by Building and Reusing a Library of LoRAs. | Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni |
| 2023 | ICML | Target-based Surrogates for Stochastic Optimization. | Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux |
| 2022 | AISTATS | On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. | Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan |
| 2022 | AISTATS | A general class of surrogate functions for stable and efficient reinforcement learning. | Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux |
| 2021 | ICCV | Impact of Aliasing on Generalization in Deep Convolutional Networks. | Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin |
| 2021 | ICLR | Batch Reinforcement Learning Through Continuation Method. | Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen |
| 2021 | ICML | Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization. | Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux |
| 2020 | AISTATS | On the interplay between noise and curvature and its effect on optimization and generalization. | Valentin Thomas, Fabian Pedregosa, Bart van Merrinboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux |
| 2019 | AISTATS | Distributional reinforcement learning with linear function approximation. | Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra |
| 2019 | ICML | Understanding the Impact of Entropy on Policy Optimization. | Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans |
| 2019 | ICML | The Value Function Polytope in Reinforcement Learning. | Robert Dadashi, Marc G. Bellemare, Adrien Ali Taga, Nicolas Le Roux, Dale Schuurmans |
| 2018 | AISTATS | Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. | Robert M. Gower, Nicolas Le Roux, Francis R. Bach |
| 2018 | ICLR | Negative eigenvalues of the Hessian in deep neural networks. | Guillaume Alain, Nicolas Le Roux, Pierre-Antoine Manzagol |
| 2018 | ICLR | Online variance-reducing optimization. | Nicolas Le Roux, Reza Babanezhad, Pierre-Antoine Manzagol |
| 2017 | ICLR | Tighter bounds lead to improved classifiers. | Nicolas Le Roux |
| 2015 | RecSys | Large-Scale Real-Time Product Recommendation at Criteo. | Romain Lerallut, Diane Gasselin, Nicolas Le Roux |
| 2011 | ICANN | Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs. | Nicolas Heess, Nicolas Le Roux, John M. Winn |
| 2011 | ICCV | Ask the locals: Multi-way local pooling for image recognition. | Y-Lan Boureau, Nicolas Le Roux, Francis R. Bach, Jean Ponce, Yann LeCun |
| 2010 | ICML | A fast natural Newton method. | Nicolas Le Roux, Andrew W. Fitzgibbon |
| 2008 | ISSAC | Products of ordinary differential operators by evaluation and interpolation. | Alin Bostan, Frdric Chyzak, Nicolas Le Roux |
| 2006 | ISSAC | Rank reduction of a class of pfaffian systems in two variables. | Nicolas Le Roux, Moulay A. Barkatou |
| 2005 | AISTATS | Efficient Non-Parametric Function Induction in Semi-Supervised Learning. | Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux |
| 2003 | ISSAC | Computing power series solutions of a nonlinear PDE system. | Evelyne Hubert, Nicolas Le Roux |