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101
Why random reshuffling beats stochastic gradient descent
Published 2021“…Though RR has been numerically observed to outperform its with-replacement counterpart stochastic gradient descent (SGD), characterization of its convergence rate has been a long standing open question. …”
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Article -
102
Beyond convexity—Contraction and global convergence of gradient descent
Published 2022“…It demonstrates that in the case of a timeinvariant objective, most elementary results on gradient descent based on convexity can be replaced by much more general results based on contraction. …”
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103
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104
Terrain relative localization for lunar entry, descent, and landing
Published 2009Get full text
Thesis -
105
Tree block coordinate descent for map in graphical models
Published 2011Get full text
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106
Top of descent analysis for air traffic in Singapore airspace
Published 2020“…In this report, the main objective was to understand the Top of Descent (TOD) profiles airlines conduct on the approach to Singapore Changi International Airport (ICAO: WSSS). …”
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Final Year Project (FYP) -
107
Multi-task gradient descent for multi-task learning
Published 2021“…Different from previous approaches, in this paper, we propose a novel Multi-task Gradient Descent (MGD) framework, which improves the generalization performance of multiple tasks through knowledge transfer. …”
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Journal Article -
108
A machine learning approach for the prediction of top of descent
Published 2021Subjects: Get full text
Conference Paper -
109
Descent methods and torsion on Jacobians of higher genus curves
Published 2018“…</p> <p>Finally, we extend Schaefer’s algorithm for computing the Selmer group of a Jacobian to carry out a (4, 4)-descent on Jacobians of curves that admit a (4, 4)-isogeny.…”
Thesis -
110
Generalization bounds for label noise stochastic gradient descent
Published 2024“…We develop generalization error bounds for stochastic gradient descent (SGD) with label noise in nonconvex settings under uniform dissipativity and smoothness conditions. …”
Conference item -
111
Enlargement of the processus vaginalis during testicular descent in rats.
Published 2001“…The role of the processus vaginalis (PV) during inguinoscrotal testicular descent remains controversial. Some authors propose passive dragging of the PV by the migrating testis, while others suggest active elongation. …”
Journal article -
112
Decentralised learning with distributed gradient descent and random features
Published 2020“…We investigate the generalisation performance of Distributed Gradient Descent with implicit regularisation and random features in the homogenous setting where a network of agents are given data sampled independently from the same unknown distribution. …”
Conference item -
113
Multileave gradient descent for fast online learning to rank
Published 2016“…The <em>dueling bandit gradient descent</em> (DBGD) algorithm has been shown to effectively learn combinations of these features solely from user interactions. …”
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114
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115
A second derivative SQP method with imposed descent
Published 2008“…Additionally, an explicit descent constraint is imposed on certain QP subproblems, which "guides" the iterates through areas in which nonconvexity is a concern. …”
Report -
116
Homomorphically encrypted gradient descent algorithms for quadratic programming
Published 2024“…In this paper, we evaluate the different fully homomorphic encryption schemes, propose an implementation, and numerically analyze the applicability of gradient descent algorithms to solve quadratic programming in a homomorphic encryption setup. …”
Conference item -
117
Solving Diophantine problems on curves via descent on the jacobian
Published 1995“…We suggest that the following plan will provide a powerful tool for trying to find the set of Q-rational points C(Q) on a curve C of genus>1: (1) Attempt to find J(Q)/2J(Q) via descent on J, the Jacobian of C. (2) Deduce generators for J(Q) via an explicit theory of heights. (3). …”
Book section -
118
Implicit regularization in matrix sensing via mirror descent
Published 2021“…We study discrete-time mirror descent applied to the unregularized empirical risk in matrix sensing. …”
Conference item -
119
Generalization bounds for label noise stochastic gradient descent
Published 2023“…We develop generalization error bounds for stochastic gradient descent (SGD) with label noise in non-convex settings under uniform dissipativity and smoothness conditions. …”
Internet publication -
120
Convergence of the Steepest Descent Method for Minimizing Convex Functions
Published 2002“…Kiwiel and Murty (1996) discuss the convergence properties of a class of steepest descent algorithm for minimizing a continuously differentiable quasiconvex function f on mo. …”
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