Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Journal of the American Statistical Association ◽

10.1080/01621459.2020.1826325 ◽

2020 ◽

pp. 1-12

Author(s):

Haoyu Chen ◽

Wenbin Lu ◽

Rui Song

Keyword(s):

Decision Making ◽

Statistical Inference ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Online Decision Making

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Scalable statistical inference for averaged implicit stochastic gradient descent

Scandinavian Journal of Statistics ◽

10.1111/sjos.12378 ◽

2019 ◽

Vol 46 (4) ◽

pp. 987-1002 ◽

Author(s):

Yixin Fang

Keyword(s):

Statistical Inference ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent

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Statistical inference for model parameters in stochastic gradient descent

The Annals of Statistics ◽

10.1214/18-aos1801 ◽

2020 ◽

Vol 48 (1) ◽

pp. 251-273 ◽

Author(s):

Xi Chen ◽

Jason D. Lee ◽

Xin T. Tong ◽

Yichen Zhang

Keyword(s):

Statistical Inference ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Model Parameters

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EFFORT ALLOCATION AND STATISTICAL INFERENCE FOR 1-DIMENSIONAL MULTISTART STOCHASTIC GRADIENT DESCENT

2018 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2018.8632402 ◽

2018 ◽

Author(s):

Saul Toscano-Palmerin ◽

Peter Frazier

Keyword(s):

Statistical Inference ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Effort Allocation

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Linear Support Vector Machine (SVM) with Stochastic Gradient Descent (SGD) training and multinomial Nave Bayes (NB) in News Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i4.360363 ◽

2019 ◽

Vol 7 (4) ◽

pp. 360-363

Author(s):

Feroz Ahmed ◽

Shabina Ghafir

Keyword(s):

Support Vector Machine ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Support Vector ◽

Linear Support Vector Machine

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Stochastic gradient descent training for L1-regularized log-linear models with cumulative penalty

Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - ACL-IJCNLP '09 ◽

10.3115/1687878.1687946 ◽

2009 ◽

Author(s):

Yoshimasa Tsuruoka ◽

Jun'ichi Tsujii ◽

Sophia Ananiadou

Keyword(s):

Gradient Descent ◽

Linear Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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Drivetrain System Identification in a Multi-Task Learning Strategy using Partial Asynchronous Elastic Averaging Stochastic Gradient Descent

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) ◽

10.1109/aim43001.2020.9158977 ◽

2020 ◽

Author(s):

Tom Staessens ◽

Guillaume Crevecoeur

Keyword(s):

System Identification ◽

Gradient Descent ◽

Learning Strategy ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent

Proceedings of the 35th Annual ACM Symposium on Applied Computing ◽

10.1145/3341105.3373916 ◽

2020 ◽

Author(s):

Christian Henkel ◽

Marc Toussaint

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Path Finding ◽

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Enhanced Stochastic Gradient Descent with Backward Queried Data for Online Learning

2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) ◽

10.1109/icmlant50963.2020.9355978 ◽

2020 ◽

Author(s):

Gio Huh

Keyword(s):

Online Learning ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent

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Learning Rates for Stochastic Gradient Descent with Nonconvex Objectives

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3068154 ◽

2021 ◽

pp. 1-1

Author(s):

Yunwen Lei ◽

Ke Tang

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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High Performance Parallel Stochastic Gradient Descent in Shared Memory

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) ◽

10.1109/ipdps.2016.107 ◽

2016 ◽

Author(s):

Scott Sallinen ◽

Nadathur Satish ◽

Mikhail Smelyanskiy ◽

Samantika S. Sury ◽

Christopher Re

Keyword(s):

Shared Memory ◽

Gradient Descent ◽

High Performance ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Parallel Stochastic Gradient Descent

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