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2020 – today
- 2023
[c3]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. ICLR 2023- [c2]Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang:
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS 2023 - [i7]Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang:
Vision-Language Models as a Source of Rewards. CoRR abs/2312.09187 (2023) - 2022
- [i6]Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang:
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. CoRR abs/2206.04798 (2022) - [i5]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. CoRR abs/2210.14215 (2022) - 2021
- [i4]Mufan (Bill) Li, Maxime Gazeau:
Higher Order Generalization Error for First Order Discretization of Langevin Diffusion. CoRR abs/2102.06229 (2021) - 2020
- [j3]André Belotto da Silva, Maxime Gazeau:
A General System of Differential Equations to Model First-Order Adaptive Algorithms. J. Mach. Learn. Res. 21: 129:1-129:42 (2020) - [c1]Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba:
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS 2020: 3621-3631
2010 – 2019
- 2019
- [i3]Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba:
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR abs/1902.08234 (2019) - 2018
- [j2]Walter Craig, Maxime Gazeau, Christophe Lacave
, Catherine Sulem:
Bloch Theory and Spectral Gaps for Linearized Water Waves. SIAM J. Math. Anal. 50(5): 5477-5501 (2018) - [i2]Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud:
Scalable Recommender Systems through Recursive Evidence Chains. CoRR abs/1807.02150 (2018) - [i1]André Belotto da Silva, Maxime Gazeau:
A general system of differential equations to model first order adaptive algorithms. CoRR abs/1810.13108 (2018) - 2014
- [j1]Maxime Gazeau:
Probability and Pathwise Order of Convergence of a Semidiscrete Scheme for the Stochastic Manakov Equation. SIAM J. Numer. Anal. 52(1): 533-553 (2014)
Coauthor Index
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