ML Anthology

Delalleau, Olivier

14 publications

ICML 2025 Diverging Preferences: When Do Annotators Disagree and Do Models Know? Michael Jq Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
ICLR 2025 HelpSteer2-Preference: Complementing Ratings with Preferences Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong
NeurIPS 2025 HelpSteer3-Preference: Open Human-Annotated Preference Data Across Diverse Tasks and Languages Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Hoo-Chang Shin, Felipe Soares, Alexander Bukharin, Ellie Evans, Yi Dong, Oleksii Kuchaiev
NeurIPSW 2024 Diverging Preferences: When Do Annotators Disagree and Do Models Know? Michael JQ Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
NeurIPS 2024 HelpSteer 2: Open-Source Dataset for Training Top-Performing Reward Models Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
ICMLW 2023 IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control Yingchen Xu, Rohan Chitnis, Bobak T Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
ALT 2011 On the Expressive Power of Deep Architectures Yoshua Bengio, Olivier Delalleau
NeurIPS 2011 Shallow vs. Deep Sum-Product Networks Olivier Delalleau, Yoshua Bengio
AISTATS 2010 Tempered Markov Chain Monte Carlo for Training of Restricted Boltzmann Machines Guillaume Desjardins, Aaron Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau
NeurIPS 2005 Convex Neural Networks Yoshua Bengio, Nicolas L. Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte
AISTATS 2005 Efficient Non-Parametric Function Induction in Semi-Supervised Learning Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux
NeurIPS 2005 The Curse of Highly Variable Functions for Local Kernel Machines Yoshua Bengio, Olivier Delalleau, Nicolas L. Roux
NeCo 2004 Learning Eigenfunctions Links Spectral Embedding and Kernel PCA Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet
NeurIPS 2003 Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux, Marie Ouimet