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 1151–1200 of 1387 papers

TitleStatusHype
An empirical analysis of the optimization of deep network loss surfaces—0
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning—0
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function—0
A General Reduction for High-Probability Analysis with General Light-Tailed Distributions—0
A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017—0
A novel Deep Neural Network architecture for non-linear system identification—0
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity—0
Ant Colony Algorithm for the Unsupervised Word Sense Disambiguation of Texts: Comparison and Evaluation—0
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing—0
Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization—0
Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning—0
Applying statistical learning theory to deep learning—0
Approximating Pandora's Box with Correlations—0
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy—0
A preconditioned accelerated stochastic gradient descent algorithm—0
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization—0
An adaptive stochastic optimization algorithm for resource allocation—0
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—0
A quantitative Robbins-Siegmund theorem—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
A Single-Timescale Method for Stochastic Bilevel Optimization—0
ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables—0
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization—0
A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling—0
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning—0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty—0
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization—0
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning—0
A Sub-sampled Tensor Method for Non-convex Optimization—0
A Sufficient Condition for Convergences of Adam and RMSProp—0
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC—0
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms—0
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning—0
Asymptotic Optimality in Stochastic Optimization—0
Asymptotic regularity of a generalised stochastic Halpern scheme with applications—0
Asynchronous decentralized accelerated stochastic gradient descent—0
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays—0
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction—0
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care—0
Asynchronous Stochastic Optimization Robust to Arbitrary Delays—0
Asynchronous Stochastic Variational Inference—0
Gamifying the Vehicle Routing Problem with Stochastic Requests—0
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement 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