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 351–375 of 1387 papers

TitleStatusHype
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems—0
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning—0
Decentralized Stochastic Optimization with Inherent Privacy Protection—0
A Sub-sampled Tensor Method for Non-convex Optimization—0
Decision Transformers for Wireless Communications: A New Paradigm of Resource Management—0
Compositional Training for End-to-End Deep AUC Maximization—0
Deep FPF: Gain function approximation in high-dimensional setting—0
Ant Colony Algorithm for the Unsupervised Word Sense Disambiguation of Texts: Comparison and Evaluation—0
Deep Generative Demand Learning for Newsvendor and Pricing—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning—0
A Full Adagrad algorithm with O(Nd) operations—0
Deep PDF: Probabilistic Surface Optimization and Density Estimation—0
Asymptotic Optimality in Stochastic Optimization—0
Direct Acceleration of SAGA using Sampled Negative Momentum—0
Asymptotic regularity of a generalised stochastic Halpern scheme with applications—0
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint—0
Asynchronous decentralized accelerated stochastic gradient descent—0
Derivatives of Stochastic Gradient Descent in parametric optimization—0
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study—0
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise—0
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction—0
Distributed Evolution Strategies for Black-box 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