SOTAVerified

Stochastic Optimization

Stochastic Optimization is the task of optimizing certain objective functional by generating and using stochastic random variables. Usually the Stochastic Optimization is an iterative process of generating random variables that progressively finds out the minima or the maxima of the objective functional. Stochastic Optimization is usually applied in the non-convex functional spaces where the usual deterministic optimization such as linear or quadratic programming or their variants cannot be used.

Source: ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 1387 papers

TitleStatusHype
Dyna: A Method of Momentum for Stochastic Optimization—0
Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—0
Dynamic Feature Selection for Efficient and Interpretable Human Activity Recognition—0
Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement—0
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks—0
Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Dynamic Stochastic Approximation for Multi-stage Stochastic Optimization—0
Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility—0
Fair Incentives for Repeated Engagement—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Effective Blind Source Separation Based on the Adam Algorithm—0
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution—0
Efficiency Ordering of Stochastic Gradient Descent—0
Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling—0
Efficient Distributed SGD with Variance Reduction—0
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis—0
Efficient Projection-Free Online Convex Optimization with Membership Oracle—0
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization—0
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent—0
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network—0
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence—0
Enhancing Rolling Horizon Production Planning Through Stochastic Optimization Evaluated by Means of Simulation—0
Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Equivariant Denoisers for Image Restoration—0
Escaping Saddle-Point Faster under Interpolation-like Conditions—0
Escaping Saddle-Points Faster under Interpolation-like Conditions—0
Escaping Saddle Points Faster with Stochastic Momentum—0
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise—0
Estimation and Inference by Stochastic Optimization: Three Examples—0
Estimation and Inference by Stochastic Optimization—0
Estimation, Optimization, and Parallelism when Data is Sparse—0
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach—0
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits—0
Evolutionary Algorithms for the Chance-Constrained Knapsack Problem—0
Dealing with Structure Constraints in Evolutionary Pareto Set Learning—0
Exact and Inexact Subsampled Newton Methods for Optimization—0
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization—0
Exploring Curvature Noise in Large-Batch Stochastic Optimization—0
Extreme Tensoring for Low-Memory Preconditioning—0
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization—0
Fair Empirical Risk Minimization via Exponential Rényi Mutual Information—0
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations—0
False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation—0
Fast determinantal point processes via distortion-free intermediate sampling—0
Faster Adaptive Decentralized Learning Algorithms—0
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All datasetsCIFAR-100 WRN-28-10 - 200 EpochsCIFAR-10 WRN-28-10 - 200 EpochsCIFAR-10 ResNet-18 - 200 EpochsImageNet ResNet-50 - 90 EpochsPenn Treebank (Character Level) 3x1000 LSTM - 500 EpochsCIFAR-10CIFAR-100ImageNet ResNet-50 - 50 EpochsImageNet ResNet-50 - 60 EpochsAG NewsCoLAMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AvaGradAccuracy81.24—Unverified
2AdaShiftAccuracy81.12—Unverified
3Adam (eps-adjusted)Accuracy81.04—Unverified
4SGDAccuracy80.95—Unverified
5AdamWAccuracy79.87—Unverified
6AdaBoundAccuracy77.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Adam (eps-adjusted)Accuracy96.36—Unverified
2AvaGradAccuracy96.2—Unverified
3SGDAccuracy96.14—Unverified
4AdaShiftAccuracy95.92—Unverified
5AdamWAccuracy95.89—Unverified
6AdaBoundAccuracy94.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SGD - cosine LR scheduleAccuracy95.55—Unverified
2LookaheadAccuracy95.27—Unverified
3SGDAccuracy95.23—Unverified
4ADAMAccuracy94.84—Unverified
#ModelMetricClaimedVerifiedStatus
1AvaGradTop 1 Accuracy76.51—Unverified
2SGDTop 1 Accuracy75.99—Unverified
3AdamWTop 1 Accuracy72.9—Unverified
4AdaBoundTop 1 Accuracy72.01—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaBoundBit per Character (BPC)2.86—Unverified
2AdaShiftBit per Character (BPC)1.27—Unverified
3AdamWBit per Character (BPC)1.23—Unverified
4AvaGradBit per Character (BPC)1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)86.85—Unverified
2Resnet34Accuracy (max)86.14—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)58.48—Unverified
2Resnet34Accuracy (max)54.5—Unverified
#ModelMetricClaimedVerifiedStatus
1SGDTop 5 Accuracy92.15—Unverified
2LookaheadTop 1 Accuracy75.13—Unverified
#ModelMetricClaimedVerifiedStatus
1LookaheadTop 1 Accuracy75.49—Unverified
2SGDTop 1 Accuracy75.15—Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)93.99—Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)86.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MLPNLL0.05—Unverified