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Convex Optimization: Algorithms and Complexity
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inferredcites →https://doi.org/10.1006/jfan.1998.3384openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11432-019-2889-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11548-020-02288-8openalex-snapshot
The use of a surgical planning tool for evaluating the optimal surgical accessibility to the stapedius muscle via a retrofacial approach during cochlear implant surgery: a feasibility study
inferred← citeshttps://doi.org/10.1007/s11590-020-01623-xopenalex-snapshot
Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure
inferred← citeshttps://doi.org/10.1007/s11590-021-01834-wopenalex-snapshot
Stochastic saddle-point optimization for the Wasserstein barycenter problem
inferred← citeshttps://doi.org/10.1007/s11590-024-02142-9openalex-snapshot
Convergence rate of projected subgradient method with time-varying step-sizes
inferred← citeshttps://doi.org/10.1007/s11634-024-00599-1openalex-snapshot
Scalable Bayesian p-generalized probit and logistic regression
inferred← citeshttps://doi.org/10.1007/s11831-026-10720-6openalex-snapshot
The Versatility of Large Language Models: A Comprehensive Review and Structured Survey of Architectures, Applications, Challenges, and Future Trajectories
inferred← citeshttps://doi.org/10.1007/s12021-018-9406-9openalex-snapshot
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering
inferred← citeshttps://doi.org/10.1007/s12083-019-00793-5openalex-snapshot
UAV-assisted wireless relay networks for mobile offloading and trajectory optimization
inferred← citeshttps://doi.org/10.1007/s12190-025-02678-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12555-026-00174-8openalex-snapshot
Distributed Static No-Regret Dual-Averaging Learning in Two-Network Zero-Sum Games
inferred← citeshttps://doi.org/10.1007/s13235-021-00420-0openalex-snapshot
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games
inferred← citeshttps://doi.org/10.1007/s40305-019-00276-7openalex-snapshot
A Framework of Convergence Analysis of Mini-batch Stochastic Projected Gradient Methods
inferred← citeshttps://doi.org/10.1007/s40305-023-00458-4openalex-snapshot
Mirror Frameworks for Relatively Lipschitz and Monotone-Like Variational Inequalities
inferred← citeshttps://doi.org/10.1007/s40305-025-00629-5openalex-snapshot
Lipschitz-Free Projected Subgradient Method with Time-Varying Step-Size
inferred← citeshttps://doi.org/10.1007/s42081-019-00049-9openalex-snapshot
Robust and sparse regression in generalized linear model by stochastic optimization
inferred← citeshttps://doi.org/10.1007/s42979-025-04352-zopenalex-snapshot
Machine Learning and Deep Learning Models for Anomaly Intrusion Detection in Networks: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s44196-024-00530-8openalex-snapshot
Blocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1016/b978-0-12-813677-5.00024-9openalex-snapshot
Information Diffusion and Rumor Spreading
inferred← citeshttps://doi.org/10.1016/b978-0-12-823817-2.00012-7openalex-snapshot
Convex optimization
inferred← citeshttps://doi.org/10.1016/bs.hna.2025.09.004openalex-snapshot
On the regularizing property of stochastic iterative methods for solving inverse problems
inferred← citeshttps://doi.org/10.1016/j.aam.2025.102849openalex-snapshot
Convex optimization on CAT(0) cubical complexes
inferred← citeshttps://doi.org/10.1016/j.acha.2024.101715openalex-snapshot
Unlimited sampling beyond modulo
inferred← citeshttps://doi.org/10.1016/j.acha.2025.101812openalex-snapshot
Randomized Kaczmarz with tail averaging
inferred← citeshttps://doi.org/10.1016/j.adhoc.2021.102465openalex-snapshot
Gated recurrent unit-based parallel network traffic anomaly detection using subagging ensembles
inferred← citeshttps://doi.org/10.1016/j.aeue.2016.10.006openalex-snapshot
Near-field self-interference suppression with subscriber beamforming in full-duplex communications
inferred← citeshttps://doi.org/10.1016/j.apenergy.2026.128044openalex-snapshot
Gradient methods for bilevel electricity grid expansion planning
inferred← citeshttps://doi.org/10.1016/j.artint.2021.103559openalex-snapshot
Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107084openalex-snapshot
Guided parallelized stochastic gradient descent for delay compensation
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111764openalex-snapshot
Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises
inferred← citeshttps://doi.org/10.1016/j.ast.2025.111221openalex-snapshot
Robust factor graph-based state estimation for Mars rovers under sparse and low-quality observations
inferred← citeshttps://doi.org/10.1016/j.automatica.2019.108703openalex-snapshot
Mass–spring–damper networks for distributed optimization in non-Euclidean spaces
inferred← citeshttps://doi.org/10.1016/j.automatica.2022.110224openalex-snapshot
Variable demand and multi-commodity flow in Markovian network equilibrium
inferred← citeshttps://doi.org/10.1016/j.automatica.2023.110879openalex-snapshot
Adaptive constraint satisfaction for Markov decision process congestion games: Application to transportation networks
inferred← citeshttps://doi.org/10.1016/j.automatica.2024.111973openalex-snapshot
Convergence rate bounds for the mirror descent method: IQCs, Popov criterion and Bregman divergence
inferred← citeshttps://doi.org/10.1016/j.automatica.2026.113073openalex-snapshot
On model-free learning over rate-limited channels: The linear quadratic regulator case
inferred← citeshttps://doi.org/10.1016/j.automatica.2026.113213openalex-snapshot
Online convex optimization with memory and limited predictions
inferred← citeshttps://doi.org/10.1016/j.cam.2022.114919openalex-snapshot
A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity
inferred← citeshttps://doi.org/10.1016/j.chaos.2024.115654openalex-snapshot
New aspects of black box conditional gradient: Variance reduction and one point feedback
inferred← citeshttps://doi.org/10.1016/j.cjme.2025.100167openalex-snapshot
LSTM-H∞ adaptive fault estimation and stability region feedforward tolerant control for IWM-EMB cooperative braking system
inferred← citeshttps://doi.org/10.1016/j.cmpb.2026.109545openalex-snapshot
A parameter computation and optimization method in multi-directional exciting tumor treating fields
inferred← citeshttps://doi.org/10.1016/j.cnsns.2024.108289openalex-snapshot
Non-ergodic convergence rate of an inertial accelerated primal–dual algorithm for saddle point problems
inferred← citeshttps://doi.org/10.1016/j.comcom.2020.12.010openalex-snapshot
Energy-efficient computation offloading for vehicular edge computing networks
inferred← citeshttps://doi.org/10.1016/j.commatsci.2021.110663openalex-snapshot
Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.107846openalex-snapshot
Dynamic backup workers for parallel machine learning
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109623openalex-snapshot
Optimizing Fairness in Cellular Networks with Mobile Drone Relays
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.111994openalex-snapshot
Hierarchical federated learning algorithm with synchronous and asynchronous aggregation collaboration in internet of vehicles
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109646openalex-snapshot
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110892openalex-snapshot
NeuralRTE: Forward photon transport simulations in turbid media aided by machine learning and artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.cose.2019.101682openalex-snapshot
A novel method for malware detection on ML-based visualization technique
inferred← citeshttps://doi.org/10.1016/j.dsp.2026.106481openalex-snapshot
Privacy-preserving adversarial speech generation via Nesterov momentum
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