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

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Showing 151–175 of 1387 papers

TitleStatusHype
Measuring training variability from stochastic optimization using robust nonparametric testing—0
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees—0
Robust Distribution Learning with Local and Global Adversarial Corruptions—0
A Generalized Version of Chung's Lemma and its Applications—0
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-TailedCode0
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical PerformanceCode0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural NetworksCode0
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions—0
Learning-Rate-Free Stochastic Optimization over Riemannian ManifoldsCode0
ODE-based Learning to OptimizeCode0
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization—0
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Towards Faster Decentralized Stochastic Optimization with Communication CompressionCode0
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data—0
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks—0
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis—0
Learning with User-Level Local Differential Privacy—0
GeoAdaLer: Geometric Insights into Adaptive Stochastic Gradient Descent Algorithms—0
Derivatives of Stochastic Gradient Descent in parametric optimization—0
Lower Bound on the Greedy Approximation Ratio for Adaptive Submodular Cover—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Subsampled Ensemble Can Improve Generalization Tail ExponentiallyCode0
Riemannian Bilevel Optimization—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