求翻译:block-coordinate descent是什么意思?待解决 悬赏分:1 - 离问题结束还有 block-coordinate descent问题补充:匿名 2013-05-23 12:21:38 块坐标下降 匿名 2013-05-23 12:23:18 块座标下降 匿名 2013-05-23 12:24:58 阻拦协调下降 匿名 2013-05-23 12:26:38 块坐标下降 匿名 2013-05...
A Dual Coordinate Descent Method:双坐标下降法 热度: Block Coordinate Descent for Regularized Multi-convex… 热度: Block Coordinate Descent Slides are adapted based on: D. Sontag, A. Globerson, and T. Jaakkola. Introduction to dual decomposition for inference. ...
The method can’t handle withhigh-dimensionalproblems. Block Coordinate Descent Method For better solving the high-dimensional problems, we can introduce the Block Coordinate Descent Method (BCDM).The idea is spliting variables to many blocks f(x,y) could be splited into two sub-broblems. 版权...
(2013). Block coordinate descent algorithms for large-scale sparse multiclass classification. Machine Learning, 93(1), 31-52.M. Blondel, K. Seki, and K. Uehara, Block coordinate descent algorithms for large-scale sparse multiclass classification, Machine Learn., 93 (2013), pp. 31-52....
In this paper, we combine the two types of methods together and propose online randomized block coordinate descent (ORBCD). At each iteration, ORBCD only computes the partial gradient of one block coordinate of one mini-batch samples. ORBCD is well suited for the composite minimization problem...
Recently, the efficiency of the block coordinate descent (BCD) type methods has been empirically illustrated for DNN training. The main idea of BCD is to decompose the highly composite and nonconvex DNN training problem into several almost separable simple subproblems. However, their convergence ...
Starting with an invalid non﹊njective initial map, ABCD behaves as a modified block coordinate descent up to the point where the current mapping is cleared of invalid simplices. Then, the algorithm converges rapidly into the chosen iterative solver. Our method is very general, fastヽonverging...
We consider in this chapter block coordinate descent (BCD) methods for solving semidefinite programming (SDP) problems. These methods are based on sequentially minimizing the SDP problem's objective function over blocks of variables corresponding to the elements of a single row (and column) of the...
In contrast, we propose a block coordinatedescent strategy which considers a sequence of vector problems where each one can be solved in closed form e?ciently. 3 The Sequential Sparse NMF Algorithm We present our algorithm which we call Sequential Sparse NMF (SSNMF) to solve the SNMF problem...
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