[PDF] Top 20 An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
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An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
... and stochastic gra- dient methods (Nemirovski et ...cently, parallel multicore versions of stochastic gradient and stochastic coordinate descent have been described for problems ... See full document
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Low-complexity RLS algorithms using dichotomous coordinate descent iterations
... ERLS-DCD algorithm as described in Tables II and X was implemented for the cases and with ...QRD-RLS algorithm for 9-element antenna and with approximately the same chip area [26], ...ERLS-DCD ... See full document
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Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
... the algorithm has to compute a kernel matrix of size n × n where n is the number of data points in the data ...core algorithm used is the computationally expensive SMO ...The parallel ... See full document
10
Optimizing machine learning on Apache Spark in HPC environments
... new asynchronous Stochastic Gradient Descent (SGD) algorithm using non-blocking ...new asynchronous SGD with respect to the synchronous ...new asynchronous SGD algorithm ... See full document
12
Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... gradient descent search for determining the optimal spacings between probes for a given probe ...a stochastic optimization algorithm such as simulated annealing or microcanonical ...gradient ... See full document
23
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
... traditional stochastic gradient descent (SGD) algo- rithm and its variants either have low convergence rate or are computationally ...several stochastic composition gradient algorithms have been ... See full document
8
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
... on coordinate descent methods; see, ...randomized coordinate descent sparked a lot of recent activities on this ...the algorithm and analysis to composite convex ...SDCA ... See full document
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arxiv: v6 [cs.lg] 18 Feb 2020
... Gradient Descent (SGD) is a popular optimiza- tion algorithm to train neural networks (Bottou, 2012; Dean et ...efficiency, asynchronous SGD (ASGD) (Dean et ... See full document
20
Time Evolving Undirected Graphical Model for Protein-Protein Interaction Networks
... combinatorial algorithm on massively parallel architectures such as Graphics Processing Units (GPUs) for efficient computations for large scale bioinformatics ...Block Coordinate Descent ... See full document
11
Modeling Parallel Robot Kinematics for 3T2R and 3T3R Tasks using Reciprocal Sets of Euler Angles
... and parallel robots are often used for tasks like drilling or milling, that require three translational, but only two rotational degrees of freedom ...for parallel robots is still ...for parallel ... See full document
23
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction
... Among the existing structured output prediction algorithms, the linear Structural Support Vector Machine (SSVM) algorithm (Tsochantaridis et al., 2004; Joachims et al., 2009) has shown outstanding performance in ... See full document
12
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods
... developed, asynchronous parallel optimization algorithms become more and more essential to the field of Machine ...analysis asynchronous methods is difficult, notably due to the introduction of delay ... See full document
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A parallel and distributed stochastic gradient descent implementation using commodity clusters
... Once all workers are done with their training process, all nodes transmit, to the parameter server, the new model they just trained. Since, training a neural network model modifies just the weights between nodes, it is ... See full document
23
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
... tates parallel computation which will not use synchronization to wait for all others and share their ...an asynchronous parallel implementations of the accelerated proximal coordi- nate ... See full document
8
A distributed block coordinate descent method for training l1 regularized linear classifiers
... Generic Coordinate Descent Method (Scherrer et ...for coordinate descent methods ( GenCD ) suitable for parallel computing ...Several coordinate de- scent algorithms such as ... See full document
35
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption
... feasible descent methods, which includes, for example, the cyclic coordinate descent ...feasible descent method enjoys a linear convergence rate (from the beginning, rather than only locally) ... See full document
24
Distributed Coordinate Descent Method for Learning with Big Data
... mini-batch stochastic dual coordinate ascent method (parallelizing the original SDCA methods of Hsieh et ...mini-batch stochastic subgradient descent method (Pegasos of Shalev- Shwartz et ... See full document
25
Making Asynchronous Stochastic Gradient Descent Work for Transformers
... outperforms asynchronous SGD training, even with smaller batch ...training algorithm had little impact beyond the early stages of training, continuing the theme that Transform- ers are more sensitive to ... See full document
10
Antenna Array Pattern Synthesis via Coordinate Descent Method
... While the usage of convex optimization is restricted to the class of problems that can be transformed to be convex, the metaheuristic algorithms, e.g. GA, DE and PSO, can provide much more flexibility. They are not ... See full document
10
Asynchronous and Parallel Distributed Pose Graph Optimization
... decentralized asynchronous algorithms, we note that synchronized decentralized PGO has been well- ...block-coordinate descent over the product of Riemannian manifolds, and provably converge to ... See full document
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