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 701–725 of 1387 papers

TitleStatusHype
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems—0
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter—0
Private Zeroth-Order Nonsmooth Nonconvex Optimization—0
Proactive Optimization with Machine Learning: Femto-caching with Future Content Popularity—0
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model—0
Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy—0
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction—0
Problem-dependent convergence bounds for randomized linear gradient compression—0
Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times—0
Projected gradient methods for nonconvex and stochastic optimization: new complexities and auto-conditioned stepsizes—0
Projection-Free Algorithm for Stochastic Bi-level Optimization—0
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data—0
Projection-Free Online Convex Optimization with Stochastic Constraints—0
Provable convergence guarantees for black-box variational inference—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains—0
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces—0
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization—0
Public-data Assisted Private Stochastic Optimization: Power and Limitations—0
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization—0
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization—0
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free—0
Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering—0
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence—0
Achieving Linear Speedup with ProxSkip in Distributed 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