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 551–575 of 1387 papers

TitleStatusHype
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss—0
Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation—0
GeoAdaLer: Geometric Insights into Adaptive Stochastic Gradient Descent Algorithms—0
Global Convergence and Stability of Stochastic Gradient Descent—0
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration—0
Global-Order GFlowNets—0
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck—0
Gradient Clipping Helps in Non-Smooth Stochastic Optimization with Heavy-Tailed Noise—0
Comparative analysis of criteria for filtering time series of word usage frequencies—0
Gradient Descent, Stochastic Optimization, and Other Tales—0
Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization—0
Gradient-free stochastic optimization for additive models—0
Gradient Sparification for Asynchronous Distributed Training—0
Gradient Sparsification for Communication-Efficient Distributed Optimization—0
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy—0
Gradient-Variation Online Learning under Generalized Smoothness—0
Graph-Homomorphic Perturbations for Private Decentralized Learning—0
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning—0
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization—0
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness—0
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization—0
Gray-box inference for structured Gaussian process models—0
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization—0
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent—0
Fractal Structure and Generalization Properties of Stochastic Optimization 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