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 451–500 of 1387 papers

TitleStatusHype
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
Distribution-Dependent Analysis of Gibbs-ERM Principle—0
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning—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
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization—0
Equivariant Denoisers for Image Restoration—0
Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes—0
Escaping Saddle-Points Faster under Interpolation-like Conditions—0
DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION—0
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes—0
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park—0
Estimation, Optimization, and Parallelism when Data is Sparse—0
Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks—0
Distributed stochastic optimization with large delays—0
Distributed stochastic optimization with gradient tracking over strongly-connected networks—0
A Variational Inequality Approach to Bayesian Regression Games—0
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization—0
Exact and Inexact Subsampled Newton Methods for Optimization—0
Distributed Stochastic Optimization via Adaptive SGD—0
Distributed stochastic optimization via matrix exponential learning—0
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization—0
Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration—0
Distributed Stochastic Optimization under a General Variance Condition—0
Distributed Stochastic Optimization of the Regularized Risk—0
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates—0
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization—0
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems—0
Accelerating Stochastic Gradient Descent For Least Squares Regression—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—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
Distributed stochastic optimization for deep learning (thesis)—0
Fast determinantal point processes via distortion-free intermediate sampling—0
Faster Adaptive Decentralized Learning Algorithms—0
A Unified Convergence Theorem for Stochastic Optimization Methods—0
Faster Eigenvector Computation via Shift-and-Invert Preconditioning—0
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning—0
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization—0
Show:102550
← PrevPage 10 of 28Next →
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