[PDF] Painless Stochastic Gradient: Interpolation Line-Search

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Painless Stochastic Gradient: Interpolation Line-Search

http://papers.neurips.cc/paper/8630-painless-stochastic-gradient-interpolation-line-search-and-convergence-rates.pdf



Using BIBTEX to Automatically Generate Labeled Data for Citation

Adam: A method for stochastic optimization. In International. Conference for Learning Representations (ICLR) 2015. John Lafferty



INCORPORATING NESTEROV MOMENTUM INTO ADAM

1504–1512. 2015. John Duchi



SGDR: STOCHASTIC GRADIENT DESCENT WITH WARM

AdaDelta (Zeiler 2012) and. Adam (Kingma & Ba



Using BibTeX to Automatically Generate Labeled Data for Citation

9 jun 2020 Adam: A method for stochastic optimization. In International. Conference for Learning Representations (ICLR) 2015.



TENT: FULLY TEST-TIME ADAPTATION BY ENTROPY MINIMIZATION

Adam: A method for stochastic optimization. In ICLR 2015. A. Krizhevsky



Closing the Generalization Gap of Adaptive Gradient Methods in

work we show that adaptive gradient methods such the stochastic nonconvex optimization setting. Ex- ... Adam [Kingma and Ba



Customized Nonlinear Bandits for Online Response Selection in

son sampling method that is applied to a polynomial feature Adam: A method for stochastic optimization. In ICLR. Kveton B.; Wen



7181-attention-is-all-you-need. pdf

Adam: A method for stochastic optimization. In ICLR 2015. [18] Oleksii Kuchaiev and Boris Ginsburg. Factorization tricks for LSTM networks. arXiv preprint.



Self-Attentive Sequential Recommendation

20 ago 2018 recommender systems” Computer

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