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AdaTerm: Adaptive T-Distribution Estimated Robust Moments for
  Noise-Robust Stochastic Gradient Optimization

AdaTerm: Adaptive T-Distribution Estimated Robust Moments for Noise-Robust Stochastic Gradient Optimization

18 January 2022
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Takamitsu Matsubara
ArXivPDFHTML

Papers citing "AdaTerm: Adaptive T-Distribution Estimated Robust Moments for Noise-Robust Stochastic Gradient Optimization"

5 / 5 papers shown
Title
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
34
0
0
29 Apr 2025
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
63
2
0
29 Sep 2024
Multiplicative update rules for accelerating deep learning training and
  increasing robustness
Multiplicative update rules for accelerating deep learning training and increasing robustness
Manos Kirtas
Nikolaos Passalis
Anastasios Tefas
AAML
OOD
32
2
0
14 Jul 2023
t-Soft Update of Target Network for Deep Reinforcement Learning
t-Soft Update of Target Network for Deep Reinforcement Learning
Taisuke Kobayashi
Wendyam Eric Lionel Ilboudo
79
50
0
25 Aug 2020
A new regret analysis for Adam-type algorithms
A new regret analysis for Adam-type algorithms
Ahmet Alacaoglu
Yura Malitsky
P. Mertikopoulos
V. Cevher
ODL
48
42
0
21 Mar 2020
1