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 176–200 of 1387 papers

Title	Date	Tasks	Status	Score
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM	Jun 28, 2019	Privacy PreservingStochastic Optimization	CodeCode Available	5
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available	5
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method	May 18, 2025	Riemannian optimizationStochastic Optimization	CodeCode Available	5
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)	Dec 20, 2023	Computational EfficiencyPrivacy Preserving	CodeCode Available	5
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming	May 27, 2022	Second-order methodsStochastic Optimization	CodeCode Available	5
Joint control variate for faster black-box variational inference	Oct 13, 2022	Stochastic OptimizationVariational Inference	CodeCode Available	5
Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties	Oct 3, 2020	Stochastic Optimization	CodeCode Available	5
Deep Stochastic Optimization in Finance	May 9, 2022	Stochastic Optimization	CodeCode Available	5
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance	Feb 12, 2020	Stochastic Optimization	CodeCode Available	5
Deep learning with Elastic Averaging SGD	Dec 20, 2014	Deep Learningimage-classification	CodeCode Available	5
DeepType: Multilingual Entity Linking by Neural Type System Evolution	Feb 3, 2018	Entity DisambiguationEntity Embeddings	CodeCode Available	5
Asynchronous stochastic convex optimization	Aug 4, 2015	Stochastic Optimization	CodeCode Available	5
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback	Dec 28, 2021	Federated LearningStochastic Optimization	CodeCode Available	5
From Predictive to Prescriptive Analytics	Feb 22, 2014	ManagementStochastic Optimization	CodeCode Available	5
From Text to Test: AI-Generated Control Software for Materials Science Instruments	Jun 23, 2024	Stochastic Optimization	CodeCode Available	5
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics	Mar 10, 2025	Recommendation SystemsStochastic Optimization	CodeCode Available	5
Greedy Step Averaging: A parameter-free stochastic optimization method	Nov 11, 2016	Stochastic Optimization	CodeCode Available	5
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction	Sep 9, 2024	Stochastic Optimization	CodeCode Available	5
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization	Dec 5, 2022	Stochastic Optimization	CodeCode Available	5
A Generic Acceleration Framework for Stochastic Composite Optimization	Jun 3, 2019	Stochastic Optimization	CodeCode Available	5
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization	May 9, 2019	Stochastic Optimization	CodeCode Available	5
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes	Jun 5, 2018	Stochastic Optimization	CodeCode Available	5
Concealing Sensitive Samples against Gradient Leakage in Federated Learning	Sep 13, 2022	Federated LearningStochastic Optimization	CodeCode Available	5
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed	Jun 6, 2024	Stochastic Optimization	CodeCode Available	5
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity	Dec 24, 2019	SchedulingStochastic Optimization	CodeCode Available	5

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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