Tight analyses for subgradient descent I: Lower bounds by Harvey, Nicholas J. A., Liaw, Chris, Randhawa, Sikander

Subjects: “…Gradient descent…”
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Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

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Smoothing gradient descent algorithm for the composite sparse optimization by Wei Yang, Lili Pan, Jinhui Wan

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Bandlimited Frequency-Constrained Iterative Methods by Harrison Garrett, David G. Long

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Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures by Chizat, Lénaïc

Subjects: “…Gradient Descent…”
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Optimising deep learning models for ophthalmological disorder classification by S. Vidivelli, P. Padmakumari, C. Parthiban, A. DharunBalaji, R. Manikandan, Amir H. Gandomi

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Comparison of the efficiency of zero and first order minimization methods in neural networks by E. A. Gubareva, S. I. Khashin, E. S. Shemyakova

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Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

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SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

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TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques by V.G. Saranya, S. Karthik

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Generalized Adaptive Diversity Gradient Descent Bit-Flipping with a Finite State Machine by Jovan Milojković, Srdjan Brkić, Predrag Ivaniš, Bane Vasić

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ESPGD Algorithm to Improve the Convergence Speed for Adaptive Single-Mode Fiber Coupling by Jinjin Peng, Bo Qi, Yun Zhang, ZhenChuang Li, Yao Mao

Subjects: “…estimation-based stochastic parallel gradient descent (ESPGD) algorithm…”
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