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A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces


Dec 08, 2022
Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare

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* 8 pages in main content, 2 pages of bibliography and 5 pages in Appendix 

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Understanding Self-Predictive Learning for Reinforcement Learning


Dec 06, 2022
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko

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On the Generalization of Representations in Reinforcement Learning


Mar 01, 2022
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

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* Accepted at AISTATS22 

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Metrics and continuity in reinforcement learning


Feb 02, 2021
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

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* Accepted at AAAI 2021 

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LieTransformer: Equivariant self-attention for Lie Groups


Dec 20, 2020
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim

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Perfect density models cannot guarantee anomaly detection


Dec 07, 2020
Charline Le Lan, Laurent Dinh

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* I Can't Believe It's Not Better Workshop, 9 pages and 6 figures in main content, 4 pages of bibliography, and 3 pages and 3 figures in Appendix 

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Hierarchical Representations with Poincaré Variational Auto-Encoders


Jan 17, 2019
Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

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