Valentin Thomas

According to our database, Valentin Thomas authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TabDPT: Scaling Tabular Foundation Models.

Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini

CoRR, 2024

Retrieval & Fine-Tuning for In-Context Tabular Models.

Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini

CoRR, 2024

In-Context Data Distillation with TabPFN.

Junwei Ma, Valentin Thomas, Guangwei Yu, Anthony L. Caterini

CoRR, 2024

2023

Bridging the Gap Between Target Networks and Functional Regularization.

Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan

Trans. Mach. Learn. Res., 2023

2022

On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation.

Valentin Thomas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Role of Baselines in Policy Gradient Optimization.

Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization.

Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

On the interplay between noise and curvature and its effect on optimization and generalization.

Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Information matrices and generalization.

Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux

CoRR, 2019

Probabilistic Planning with Sequential Monte Carlo methods.

Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Disentangling the independently controllable factors of variation by interacting with the world.

Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio

CoRR, 2018

2017

Independently Controllable Factors.

Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio

CoRR, 2017

Independently Controllable Features.

Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio

CoRR, 2017