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 676–700 of 1387 papers

TitleStatusHype
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization—0
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions—0
Parameter-Free Locally Differentially Private Stochastic Subgradient Descent—0
Parameter-free projected gradient descent—0
Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization—0
Particle Swarm Optimization for Weighted Sum Rate Maximization in MIMO Broadcast Channels—0
Passive Learning with Target Risk—0
Path convergence of Markov chains on large graphs—0
Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case—0
Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case—0
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization—0
Physics-aware Deep Generative Models for Creating Synthetic Microstructures—0
Pipelined Backpropagation at Scale: Training Large Models without Batches—0
Portfolio and reinsurance optimization under unknown market price of risk—0
Precise expressions for random projections: Low-rank approximation and randomized Newton—0
Preconditioners for the Stochastic Training of Neural Fields—0
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information—0
Predictive machine learning for prescriptive applications: a coupled training-validating approach—0
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding—0
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization—0
Pricing American Options by Exercise Rate Optimization—0
Primal-dual algorithm for contextual stochastic combinatorial optimization—0
Coordinated Day-ahead Dispatch of Multiple Power Distribution Grids hosting Stochastic Resources: An ADMM-based Framework—0
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services—0
Privacy-preserving Stochastic Gradual Learning—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