Search Results - stochastic/gradient-based optimization algorithm*

A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems

Authors: Frank E. Curtis Vyacheslav Kungurtsev Daniel P. Robinson et al.

Source: SIAM Journal on Optimization. 35:1030-1059

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2304.14907

A Stochastic Gradient-Based Projection Algorithm for Distributed Constrained Optimization

Authors: Keke Zhang Shanfu Gao Yingjue Chen et al.

Source: Lecture Notes in Computer Science ISBN: 9789819980789

A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems

Authors: Curtis, Frank E. Kungurtsev, Vyacheslav Robinson, Daniel P. et al.

Index Terms: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2304.14907

A STOCHASTIC-GRADIENT-BASED INTERIOR-POINT ALGORITHM FOR SOLVING SMOOTH BOUND-CONSTRAINED OPTIMIZATION PROBLEMS.

Authors: CURTIS, FRANK E. KUNGURTSEV, VYACHESLAV ROBINSON, DANIEL P. et al.

Source: SIAM Journal on Optimization; 2025, Vol. 35 Issue 2, p1030-1059, 30p

Subject Terms: INTERIOR-point methods, NONCONVEX programming, CONSTRAINT satisfaction, MATHEMATICAL programming, STOCHASTIC analysis, MATHEMATICAL optimization, EMPIRICAL research

Proactive Optimization of Intelligent-Well Production Using Stochastic Gradient-Based Algorithms

Authors: Khafiz Muradov David Roland Davies Morteza Haghighat Sefat et al.

Source: SPE Reservoir Evaluation & Engineering. 19:239-252

Subject Terms: 13. Climate action, 02 engineering and technology, 0204 chemical engineering, 0101 mathematics, 01 natural sciences, 6. Clean water

Access URL: https://researchportal.hw.ac.uk/en/publications/proactive-optimization-of-intelligent-well-production-using-stoch
https://onepetro.org/REE/article/19/02/239/206018/Proactive-Optimization-of-Intelligent-Well

The Role of Fractional Calculus in Modern Optimization: A Survey of Algorithms, Applications, and Open Challenges.

Authors: Fernandez, Edson Huilcapi, Victor Birs, Isabela et al.

Source: Mathematics (2227-7390); Oct2025, Vol. 13 Issue 19, p3172, 34p

Subject Terms: FRACTIONAL calculus, MATHEMATICAL optimization, ARTIFICIAL intelligence, SCIENTIFIC computing, ALGORITHMS

Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks

Authors: Li, Kevin Li, Fulu

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2409.09240

Optimizing Chemical Reaction Mechanisms: Evaluating Parameter-Free Metaheuristic Algorithms and Gradient-Based Optimization.

Authors: Badhuk, Pabitra Verma, Nikhil Ravikrishna, R. V.

Source: Combustion Science & Technology; 2025, Vol. 197 Issue 12, p3038-3056, 19p

Subject Terms: REACTION mechanisms (Chemistry), METAHEURISTIC algorithms, PARTICLE swarm optimization, BEES algorithm, OPTIMIZATION algorithms, GENETIC algorithms, MATHEMATICAL optimization

Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms

Authors: Das, Aniket Nagaraj, Dheeraj Raj, Anant

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), Probability (math.PR), FOS: Mathematics, Computer Science - Multiagent Systems, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences, Mathematics - Probability, Machine Learning (cs.LG), Multiagent Systems (cs.MA)

Access URL: http://arxiv.org/abs/2206.03792

A Comparative Study of Gradient Descent Methods in Deep Learning Using Body Motion Dataset.

Authors: Sembiring, Zulfikar Abdul Rani, Khairul Najmy Amir, Amiza

Source: Pertanika Journal of Science & Technology; Jul2025, Vol. 33 Issue 4, p1943-1970, 28p

Subject Terms: DEEP learning, RECURRENT neural networks, MATHEMATICAL optimization, OPTIMIZATION algorithms, NONLINEAR analysis

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints

Authors: Huang, Ruichuan Zhang, Jiawei Alacaoglu, Ahmet

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.07607

Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling

Authors: Li, Junyi Huang, Heng

Index Terms: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2411.05868

Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management.

Authors: Chen, Xin He, Niao Hu, Yifan et al.

Source: Operations Research; Mar/Apr2025, Vol. 73 Issue 2, p704-719, 16p

Subject Terms: REVENUE management, COMPUTER programming, CONVEX functions, GLOBAL optimization, DATA analytics

Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs

Authors: Takashi Goda Tomohiko Hironaka Wataru Kitade et al.

Source: SIAM Journal on Scientific Computing. 44:A286-A311

Subject Terms: FOS: Computer and information sciences, Statistics - Machine Learning, FOS: Mathematics, Machine Learning (stat.ML), Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 0101 mathematics, Statistics - Computation, 01 natural sciences, Computation (stat.CO)

Access URL: http://arxiv.org/pdf/2005.08414
http://arxiv.org/abs/2005.08414

A survey on multi-objective, model-based, oil and gas field development optimization: Current status and future directions.

Authors: Rostamian, Auref Bernardelli de Moraes, Matheus Jose Schiozer, Denis et al.

Source: Petroleum Science (KeAi Communications Co.); Jan2025, Vol. 22 Issue 1, p508-526, 19p

Subject Terms: OPTIMIZATION algorithms, MULTI-objective optimization, NET present value, MATHEMATICAL optimization, OIL fields

Deep Learning-Based Inverse Design: Exploring Latent Space Information for Geometric Structure Optimization.

Authors: Phuong, Nguyen Dong Subbiah, Nanthakumar Srivilliputtur Jin, Yabin et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 4, p263-303, 41p

Subject Terms: DEEP learning, STRUCTURAL optimization, ARTIFICIAL neural networks, PRINCIPAL components analysis, PARTIAL least squares regression, OPTIMIZATION algorithms, MACHINE learning

On the Adaptivity of Stochastic Gradient-Based Optimization

Authors: Lihua Lei Michael I. Jordan

Source: SIAM Journal on Optimization. 30:1473-1500

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/pdf/1904.04480
http://arxiv.org/abs/1904.04480
https://ui.adsabs.harvard.edu/abs/2019arXiv190404480L/abstract
https://arxiv.org/pdf/1904.04480.pdf
https://arxiv.org/abs/1904.04480

Topology optimization under uncertainty using a stochastic gradient-based approach

Authors: Kurt Maute Subhayan De Jerrad Hampton et al.

Source: Structural and Multidisciplinary Optimization. 62:2255-2278

Subject Terms: Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences

Access URL: http://arxiv.org/pdf/1902.04562
http://arxiv.org/abs/1902.04562
https://arxiv.org/abs/1902.04562
https://arxiv.org/pdf/1902.04562.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-04562
https://link.springer.com/article/10.1007/s00158-020-02599-z
https://ui.adsabs.harvard.edu/abs/2019arXiv190204562D/abstract

Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR.

Authors: Sahu, Bibhuprasad Panigrahi, Amrutanshu Pati, Abhilash et al.

Source: Bioengineering (Basel); Mar2025, Vol. 12 Issue 3, p291, 26p

Subject Terms: OPTIMIZATION algorithms, FEATURE selection, SUPPORT vector machines, TUMOR classification, RANDOM forest algorithms

Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design.

Authors: Murat, Fahri Kaymaz, Irfan Şensoy, Abdullah Tahir

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6250, 18p

Subject Terms: DETERMINISTIC algorithms, TOPOLOGICAL property, THREE-dimensional printing, MATHEMATICAL optimization, ASYMPTOTES