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Stepsize

 
National Institutes of Health

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2019
2019
Adaptive gradient methods such as AdaGrad and its variants update the stepsize in stochastic gradient descent on the fly… Expand
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2019
2019
In this paper, we introduce two golden ratio algorithms with new stepsize rules for solving pseudomonotone and Lipschitz… Expand
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2016
2016
  • Huizhen Yu
  • J. Mach. Learn. Res.
  • 2016
  • Corpus ID: 11532785
We consider the emphatic temporal-difference (TD) algorithm, ETD($\lambda$), for learning the value functions of stationary… Expand
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2011
2011
This paper analyzes the emergence of systemic risk in a network model of interconnected bank balance sheets. Given a shock to… Expand
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2008
2008
Abstract Conjugate gradient methods are efficient methods for minimizing differentiable objective functions in large dimension… Expand
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2001
2001
This paper presents a convergence proof technique for a broad class of proximal algorithms in which the perturbation term is… Expand
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2001
2001
This paper is devoted to variable stepsize strategy implementations of a class of explicit pseudo two-step Runge– Kutta–Nystrom… Expand
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1994
1994
There is considerable evidence suggesting that for Hamiltonian systems of ordinary differential equations it is better to use… Expand
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1986
1986
A systematic way of extending a general fixed-stepsize multistep formula to a minimum storage variable-stepsize formula has been… Expand
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Highly Cited
1982
Highly Cited
1982
This paper outlines a number of difficulties which can arise when numerical methods are used to solve systems of differential… Expand
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