Valentin Thomas

18 papers A* 4A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CausalPFN: Amortized Causal Effect Estimation via In-Context Learning. CoRR Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Benson Li, Junwei Ma, Jesse C. Cresswell, Rahul G. Krishnan
2025	J	`jnl`	Generalization Can Emerge in Tabular Foundation Models From a Single Table. CoRR Junwei Ma, Nour Shaheen, Alex Labach, Amine Mhedhbi, Frank Hutter, Anthony L. Caterini, Valentin Thomas
2024	J	`jnl`	In-Context Data Distillation with TabPFN. CoRR Junwei Ma, Valentin Thomas, Guangwei Yu, Anthony L. Caterini
2024	A*	`conf`	Retrieval & Fine-Tuning for In-Context Tabular Models. NeurIPS Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024	J	`jnl`	Retrieval & Fine-Tuning for In-Context Tabular Models. CoRR Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024	J	`jnl`	TabDPT: Scaling Tabular Foundation Models. CoRR Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2023	J	`jnl`	Bridging the Gap Between Target Networks and Functional Regularization. Trans. Mach. Learn. Res. Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
2023	J	`jnl`	The Role of Baselines in Policy Gradient Optimization. CoRR Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2022	A*	`conf`	On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation. NeurIPS Valentin Thomas
2022	A*	`conf`	The Role of Baselines in Policy Gradient Optimization. NeurIPS Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2021	A*	`conf`	Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization. ICML Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux
2020	J	`jnl`	Beyond variance reduction: Understanding the true impact of baselines on policy optimization. CoRR Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux
2020	A	`conf`	On the interplay between noise and curvature and its effect on optimization and generalization. AISTATS Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux
2019	J	`jnl`	Information matrices and generalization. CoRR Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux
2019	—	`conf`	Probabilistic Planning with Sequential Monte Carlo methods. ICLR (Poster) Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal
2018	J	`jnl`	Disentangling the independently controllable factors of variation by interacting with the world. CoRR Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio
2017	J	`jnl`	Independently Controllable Factors. CoRR Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio
2017	J	`jnl`	Independently Controllable Features. CoRR Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio