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 976–1000 of 1387 papers

TitleStatusHype
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach—0
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization—0
On the convergence of mirror descent beyond stochastic convex programming—0
On the Convergence of mSGD and AdaGrad for Stochastic Optimization—0
On the Convergence of Step Decay Step-Size for Stochastic Optimization—0
A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration—0
New nonasymptotic convergence rates of stochastic proximal pointalgorithm for convex optimization problems—0
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods—0
On the Investment Strategies in Occupational Pension Plans—0
On the Last Iterate Convergence of Momentum Methods—0
On the Influence of Bias-Correction on Distributed Stochastic Optimization—0
On the SAGA algorithm with decreasing step—0
On the Theoretical Properties of Noise Correlation in Stochastic Optimization—0
On Uncensored Mean First-Passage-Time Performance Experiments with Multiwalk in R^p: a New Stochastic Optimization Algorithm—0
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control—0
Optimal Algorithms for Convex Nested Stochastic Composite Optimization—0
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity—0
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks—0
Optimal Convergence for Stochastic Optimization with Multiple Expectation Constraints—0
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks—0
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models—0
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control—0
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning—0
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems—0
Optimal Regularized Dual Averaging Methods for Stochastic 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