Wendyam Eric Lionel Ilboudo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Stochastic Gradient

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neural Networks

Publications

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization. Neurocomputing 557 (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. IROS (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer. CoRR (2022)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. CoRR (2021)
Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
t-soft update of target network for deep reinforcement learning. Neural Networks 136 (2021)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. IROS (2021)
Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
t-Soft Update of Target Network for Deep Reinforcement Learning. CoRR (2020)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
TAdam: A Robust Stochastic Gradient Optimizer. CoRR (2020)