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 551–600 of 1387 papers

TitleStatusHype
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints—0
Streaming Algorithms for High-Dimensional Robust Statistics—0
An Online Stochastic Optimization Approach for Insulin Intensification in Type 2 Diabetes with Attention to Pseudo-HypoglycemiaCode0
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks—0
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
Distributed Evolution Strategies for Black-box Stochastic Optimization—0
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise—0
AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio—0
Supervised Robustness-preserving Data-free Neural Network PruningCode0
Data Sampling Affects the Complexity of Online SGD over Dependent Data—0
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control—0
Learning from Label Proportions with Instance-wise ConsistencyCode0
Two-timescale Resource Allocation for Automated Networks in IIoT—0
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic OptimizationCode0
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima—0
Implicit Parameter-free Online Learning with Truncated Linear Models—0
Accelerating Stochastic Probabilistic Inference—0
Comparing Two Samples Through Stochastic Dominance: A Graphical ApproachCode0
The Role of Local Steps in Local SGD—0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets—0
Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling—0
False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation—0
Unsupervised Alignment of Distributional Word Embeddings—0
Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning—0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes—0
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck—0
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable ConvergenceCode0
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications—0
Temporal Difference Learning with Continuous Time and State in the Stochastic Setting—0
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data—0
Online Learning for Min Sum Set Cover and Pandora's Box—0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
Personalization Improves Privacy-Accuracy Tradeoffs in Federated LearningCode0
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network—0
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights—0
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning—0
Variational Nearest Neighbor Gaussian Process—0
On the Convergence of mSGD and AdaGrad for Stochastic Optimization—0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization—0
DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION—0
Stochastic Autograd—0
Consistent Approximations in Composite Optimization—0
Coordinated Day-ahead Dispatch of Multiple Power Distribution Grids hosting Stochastic Resources: An ADMM-based Framework—0
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control—0
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogatesCode0
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit FeedbackCode0
Decentralized Multi-Task Stochastic Optimization With Compressed Communications—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—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