Results 11 to 20 of about 1,415,554 (169)
Gradient Convergence in Gradient methods with Errors [PDF]
SIAM Journal on Optimization, 2000 Summary: We consider the gradient method \(x_{t+1}=x_t+\gamma_t(s_t+w_t)\), where \(s_t\) is a descent direction of a function \(f:{\mathfrak R}^n\to{\mathfrak R}\) and \(w_t\) is a deterministic or stochastic error. We assume that \(\nabla f\) is Lipschitz continuous, that the stepsize \(\gamma_t\) diminishes to 0, and that \(s_t\) and \(w_t\) satisfy
Dimitri P. Bertsekas, John N. Tsitsiklis
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The role of study quality in aspartame and cancer epidemiology study reviews
Global Epidemiology, 2023 Toews et al. [1] and the World Health Organization (WHO) [2] reviewed observational epidemiology studies of non-sugar sweeteners (NSSs) and various health effects.
Julie E. Goodman +3 more
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Gradient Correction beyond Gradient Descent
CoRR, 2022 The great success neural networks have achieved is inseparable from the application of gradient-descent (GD) algorithms. Based on GD, many variant algorithms have emerged to improve the GD optimization process. The gradient for back-propagation is apparently the most crucial aspect for the training of a neural network.
Li, Zefan +4 more
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Systematic review of perchloroethylene and non-Hodgkin's lymphoma
Global Epidemiology, 2022 We conducted a systematic review of epidemiology studies that evaluated the association between perchloroethylene (PCE) and non-Hodgkin's lymphoma (NHL).
Julie E. Goodman +2 more
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Youth well-being predicts later academic success
Scientific Reports, 2022 Young people worldwide face new challenges as climate change and complex family structures disrupt societies. These challenges impact on youth’s subjective well-being, with evidence of decline across many countries.
Diana Cárdenas +3 more
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Gas cooking and respiratory outcomes in children: A systematic review
Global Epidemiology, 2023 The most recent meta-analysis of gas cooking and respiratory outcomes in children was conducted by Lin et al. [93] in 2013. Since then, a number of epidemiology studies have been published on this topic.
Wenchao Li +5 more
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Is the Policy Gradient a Gradient?
International Joint Conference on Autonomous Agents and Multiagent Systems, 2020 The policy gradient theorem describes the gradient of the expected discounted return with respect to an agent's policy parameters. However, most policy gradient methods drop the discount factor from the state distribution and therefore do not optimize the discounted objective. What do they optimize instead?
Chris Nota, Philip S. Thomas
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Advanced Engineering Research, 2020 Introduction. When administering complex multi-parameter systems, management decisions are often made under uncertainty. There is an acute problem of reduction of the likelihood of unwanted events and mitigation of possible damage.
V. F. Zolotukhin +2 more
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IEEE Access, 2021 The Pareto optimal set of a continuous multiobjective optimization problem shows some kinds of structure, which is called the regularity property and it has been applied to design effective offspring reproduction operators in multiobjective optimization ...
Juan Long, Jingshan Liu, Jin Mei
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Perspectives on recent reviews of aspartame cancer epidemiology
Global Epidemiology, 2023 Aspartame is a dipeptide non-sugar sweetener that was first marketed in the US in carbonated beverages in 1983, before gaining prominence globally. The Joint Food and Agriculture Organization of the United Nations (FAO)/World Health Organization (WHO ...
Julie E. Goodman +2 more
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