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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 626–650 of 1387 papers

Title	Date	Tasks	Status
Joint Training of Generic CNN-CRF Models with Stochastic Optimization	Nov 16, 2015	Stochastic Optimization	—Unverified
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity	Jul 7, 2021	Language ModelingLanguage Modelling	—Unverified
Convergence of adaptive algorithms for constrained weakly convex optimization	Dec 1, 2021	Stochastic Optimization	—Unverified
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization	Oct 24, 2019	Stochastic Optimization	—Unverified
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods	Mar 18, 2016	Stochastic Optimization	—Unverified
Stochastic Learning of Semiparametric Monotone Index Models with Large Sample Size	Sep 13, 2023	Stochastic Optimization	—Unverified
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization	Dec 2, 2023	Stochastic Optimization	—Unverified
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis	May 27, 2024	Stochastic Optimization	—Unverified
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey	Oct 5, 2021	Distributed OptimizationMultiobjective Optimization	—Unverified
Convergence and Dynamical Behavior of the ADAM Algorithm for Non-Convex Stochastic Optimization	Oct 4, 2018	Stochastic Optimization	—Unverified
A risk measurement approach from risk-averse stochastic optimization of score functions	Aug 31, 2022	regressionStochastic Optimization	—Unverified
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms	Jun 9, 2021	Generalization BoundsLearning Theory	—Unverified
Online Label Aggregation: A Variational Bayesian Approach	Jul 19, 2018	Bayesian InferenceStochastic Optimization	—Unverified
Formal Uncertainty Propagation for Stochastic Dynamical Systems with Additive Noise	May 16, 2025	QuantizationStochastic Optimization	—Unverified
Accelerated Gradient Methods for Stochastic Optimization and Online Learning	Dec 1, 2009	Stochastic Optimization	—Unverified
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks	Mar 13, 2017	Stochastic Optimization	—Unverified
Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction	Apr 17, 2017	Stochastic Optimization	—Unverified
Large-Scale Approximate Kernel Canonical Correlation Analysis	Nov 15, 2015	Representation LearningStochastic Optimization	—Unverified
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks	Mar 16, 2020	Stochastic Optimization	—Unverified
Copula variational inference	Jun 10, 2015	Stochastic OptimizationVariational Inference	—Unverified
Last-iterate convergence analysis of stochastic momentum methods for neural networks	May 30, 2022	Stochastic Optimization	—Unverified
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network	Jun 1, 2021	ImputationMissing Values	—Unverified
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.	May 21, 2021	Stochastic Optimization	—Unverified
Latent Dirichlet Allocation in Generative Adversarial Networks	Dec 17, 2018	Image Generationmultimodal generation	—Unverified
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation	May 21, 2014	ManagementStochastic Optimization	—Unverified

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All datasets CIFAR-100 WRN-28-10 - 200 Epochs CIFAR-10 WRN-28-10 - 200 Epochs CIFAR-10 ResNet-18 - 200 Epochs ImageNet ResNet-50 - 90 Epochs Penn Treebank (Character Level) 3x1000 LSTM - 500 Epochs CIFAR-10 CIFAR-100 ImageNet ResNet-50 - 50 Epochs ImageNet ResNet-50 - 60 Epochs AG News CoLA MNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AvaGrad	Accuracy	81.24	—	Unverified
2	AdaShift	Accuracy	81.12	—	Unverified
3	Adam (eps-adjusted)	Accuracy	81.04	—	Unverified
4	SGD	Accuracy	80.95	—	Unverified
5	AdamW	Accuracy	79.87	—	Unverified
6	AdaBound	Accuracy	77.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Adam (eps-adjusted)	Accuracy	96.36	—	Unverified
2	AvaGrad	Accuracy	96.2	—	Unverified
3	SGD	Accuracy	96.14	—	Unverified
4	AdaShift	Accuracy	95.92	—	Unverified
5	AdamW	Accuracy	95.89	—	Unverified
6	AdaBound	Accuracy	94.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGD - cosine LR schedule	Accuracy	95.55	—	Unverified
2	Lookahead	Accuracy	95.27	—	Unverified
3	SGD	Accuracy	95.23	—	Unverified
4	ADAM	Accuracy	94.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AvaGrad	Top 1 Accuracy	76.51	—	Unverified
2	SGD	Top 1 Accuracy	75.99	—	Unverified
3	AdamW	Top 1 Accuracy	72.9	—	Unverified
4	AdaBound	Top 1 Accuracy	72.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaBound	Bit per Character (BPC)	2.86	—	Unverified
2	AdaShift	Bit per Character (BPC)	1.27	—	Unverified
3	AdamW	Bit per Character (BPC)	1.23	—	Unverified
4	AvaGrad	Bit per Character (BPC)	1.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet18	Accuracy (max)	86.85	—	Unverified
2	Resnet34	Accuracy (max)	86.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet18	Accuracy (max)	58.48	—	Unverified
2	Resnet34	Accuracy (max)	54.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGD	Top 5 Accuracy	92.15	—	Unverified
2	Lookahead	Top 1 Accuracy	75.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Lookahead	Top 1 Accuracy	75.49	—	Unverified
2	SGD	Top 1 Accuracy	75.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Bert	Accuracy (max)	93.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Bert	Accuracy (max)	86.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MLP	NLL	0.05	—	Unverified