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 151–175 of 1387 papers

Title	Date	Tasks	Status	Score
Domain-independent Dominance of Adaptive Methods	Dec 4, 2019	image-classificationImage Classification	CodeCode Available	5
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions	Apr 27, 2021	Sequential Bayesian InferenceStochastic Optimization	CodeCode Available	5
Direct loss minimization algorithms for sparse Gaussian processes	Apr 7, 2020	Computational EfficiencyGaussian Processes	CodeCode Available	5
Disjoint principal component analysis by constrained binary particle swarm optimization	Apr 22, 2020	Stochastic Optimization	CodeCode Available	5
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM	Jun 28, 2019	Privacy PreservingStochastic 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
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis	Feb 26, 2018	Deep LearningNeural Architecture Search	CodeCode Available	5
Minimizing robust density power-based divergences for general parametric density models	Jul 11, 2023	Numerical IntegrationStochastic Optimization	CodeCode Available	5
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference	Oct 5, 2018	Stochastic OptimizationVariational Inference	CodeCode Available	5
DeepType: Multilingual Entity Linking by Neural Type System Evolution	Feb 3, 2018	Entity DisambiguationEntity Embeddings	CodeCode Available	5
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization	Jul 9, 2019	Stochastic Optimization	CodeCode Available	5
Deep learning with Elastic Averaging SGD	Dec 20, 2014	Deep Learningimage-classification	CodeCode Available	5
Concealing Sensitive Samples against Gradient Leakage in Federated Learning	Sep 13, 2022	Federated LearningStochastic Optimization	CodeCode Available	5
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics	Mar 10, 2025	Recommendation SystemsStochastic Optimization	CodeCode Available	5
Joint control variate for faster black-box variational inference	Oct 13, 2022	Stochastic OptimizationVariational Inference	CodeCode Available	5
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization	Jan 25, 2019	Stochastic Optimization	CodeCode Available	5
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication	Feb 1, 2019	Stochastic Optimization	CodeCode Available	5
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more	Dec 17, 2019	Stochastic Optimization	CodeCode Available	5
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available	5
Deep Stochastic Optimization in Finance	May 9, 2022	Stochastic Optimization	CodeCode Available	5
CYCLADES: Conflict-free Asynchronous Machine Learning	May 31, 2016	BIG-bench Machine LearningStochastic Optimization	CodeCode Available	5
Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdown	Aug 4, 2023	Numerical IntegrationStochastic Optimization	CodeCode Available	5
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data	Nov 12, 2024	FairnessFederated Learning	CodeCode Available	5
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data	Apr 10, 2025	feature selectionOne-Class Classification	CodeCode Available	5
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization	Dec 5, 2022	Stochastic 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