暂无分享,去创建一个
[1] Jorge Nocedal,et al. Sample size selection in optimization methods for machine learning , 2012, Math. Program..
[2] L. Goddard. Information Theory , 1962, Nature.
[3] Thomas Hofmann,et al. Starting Small - Learning with Adaptive Sample Sizes , 2016, ICML.
[4] Tom Schaul,et al. No more pesky learning rates , 2012, ICML.
[5] Mark W. Schmidt,et al. Hybrid Deterministic-Stochastic Methods for Data Fitting , 2011, SIAM J. Sci. Comput..
[6] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[7] David W. Jacobs,et al. Automated Inference with Adaptive Batches , 2017, AISTATS.
[8] Philipp Hennig,et al. Probabilistic Line Searches for Stochastic Optimization , 2015, NIPS.
[9] Tong Zhang,et al. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction , 2013, NIPS.
[10] Peter Richtárik,et al. Importance Sampling for Minibatches , 2016, J. Mach. Learn. Res..
[11] Matteo Pirotta. Cost-Sensitive Approach for Batch Size Optimization , 2016 .
[12] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[13] H. Robbins. A Stochastic Approximation Method , 1951 .
[14] Mark W. Schmidt,et al. StopWasting My Gradients: Practical SVRG , 2015, NIPS.
[15] Tong Zhang,et al. Stochastic Optimization with Importance Sampling for Regularized Loss Minimization , 2014, ICML.
[16] Francis Bach,et al. SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives , 2014, NIPS.
[17] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[18] Jorge Nocedal,et al. Optimization Methods for Large-Scale Machine Learning , 2016, SIAM Rev..
[19] Mark W. Schmidt,et al. Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields , 2015, AISTATS.
[20] Deanna Needell,et al. Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm , 2013, Mathematical Programming.
[21] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[22] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[24] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[25] Jasper Snoek,et al. Multi-Task Bayesian Optimization , 2013, NIPS.
[26] Jasper Snoek,et al. Bayesian Optimization with Unknown Constraints , 2014, UAI.
[27] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[28] David W. Jacobs,et al. Big Batch SGD: Automated Inference using Adaptive Batch Sizes , 2016, ArXiv.
[29] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.