Search Options
| About 37,800 results Proximal regularization for online and batch learning - ACM Digital ...dl.acm.org/citation.cfm?id=1553407 - Similar Jun 14, 2009 ... Proximal regularization for online and batch learning .... View colleagues of Chuan-Sheng Foo ... Chuong B. Do , Daniel A. Woods , Serafim Batzoglou, CONTRAfold, Bioinformatics, v.22 n.14, p.e90-e98 ... Choon Hui Teo , Alex Smola , S. V.N. Vishwanathan , Quoc Viet Le, A scalable modular convex solver ... Proximal regularization for online and batch learningciteseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.5957 - Cached author = {Chuong B. Do and Quoc V. Le and Chuan-Sheng Foo}, title = {Proximal regularization for online and batch learning }, year = {2009} Proximal regularization for online and batch learning - ResearchGatehttps://www.researchgate.net/.../221346364_Proximal_regularization_for_ Proximal regularization for online and batch learning on ResearchGate, the professional ... 2nd Quoc V. Le. 3rd Chuan-Sheng Foo. Abstract. Abstract Many learning algorithms rely on the curvature (in particular, strong .... for machine learning algorithms including online learning algorithms (Do et al., 2009; Xiao, 2010 ). [PDF] Online-Batch Strongly Convex Multi Kernel Learning - Francesco ...francesco.orabona.com/papers/10cvpr_a.pdf - Cached Multi Kernel Learning (MKL) approaches have attracted. ∗Work done while at Idiap ... We call this algorithm OBSCURE, Online-Batch Strongly. Convex mUlti ...... [6] C. B. Do, Q. V. Le, and C.-S. Foo. Proximal regularization for online and batch ... [PDF] MetaGrad: Multiple Learning Rates in Online Learning - Tim van Ervenwww.timvanerven.nl/wp-content/uploads/.../MetaGradUvA2017.pdf - Cached Online Learning Example: Electricity Forecasting. ▷ Every day t an ..... C. B. Do, Q. V. Le, and C.-S. Foo. Proximal regularization for online and batch learning. [PDF] MetaGrad: Multiple Learning Rates in Online Learninghttps://papers.nips.cc/.../6268-metagrad-multiple-learning-rates-in-online- [2] and its proximal improvement by Do, Le, and Foo [8], which are able to interpolate between strongly ...... Proximal regularization for online and batch learning. [PDF] On Optimization Methods for Deep Learning - machine learning ...machinelearning.wustl.edu/mlpapers/...files/ICML2011Le_210.pdf - Cached sparsity regularization) and hardware ex- tensions (e.g., GPUs ... minibatch training, which requires the computation ..... Bartlett, P., Hazan, E., and Rakhlin, A . Adaptive online gradient ... Do, C.B., Le, Q.V., and Foo, C.S. Proximal regularization. [PDF] Scalable Time-Decaying Adaptive Prediction Algorithm - Carnegie ...www.cs.cmu.edu/~epxing/papers/2016/HuaWei_KDD16.pdf online learning algorithm derived from the state-of-the-art. FTRL-proximal algorithm, called Time-Decaying Adaptive. Prediction ... niques compared to traditional batch (offline) learning tech- niques [12, 18, 37]. .... the-regularized- leader (FTRL) algorithms like RDA [32] and ...... [9] C. B. Do, Q. V. Le, and C.-S. Foo. Proximal ... | ||