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 226–250 of 1387 papers

Title	Date	Tasks	Status	Score
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference	Oct 5, 2018	Stochastic OptimizationVariational Inference	CodeCode Available	5
Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization	Jan 16, 2025	Stochastic Optimization	CodeCode Available	5
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis	Feb 26, 2018	Deep LearningNeural Architecture Search	CodeCode Available	5
DeepType: Multilingual Entity Linking by Neural Type System Evolution	Feb 3, 2018	Entity DisambiguationEntity Embeddings	CodeCode Available	5
Biased Importance Sampling for Deep Neural Network Training	May 31, 2017	image-classificationImage Classification	CodeCode Available	5
A deep generative model for gene expression profiles from single-cell RNA sequencing	Sep 7, 2017	Stochastic OptimizationVariational Inference	CodeCode Available	5
Concealing Sensitive Samples against Gradient Leakage in Federated Learning	Sep 13, 2022	Federated LearningStochastic Optimization	CodeCode Available	5
Diffusion Stochastic Optimization for Min-Max Problems	Jan 26, 2024	Stochastic Optimization	CodeCode Available	5
Domain-independent Dominance of Adaptive Methods	Dec 4, 2019	image-classificationImage Classification	CodeCode Available	5
Binary Search and First Order Gradient Based Method for Stochastic Optimization	Jul 27, 2020	Stochastic Optimization	CodeCode Available	5
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces	Oct 30, 2023	ManagementSecond-order methods	CodeCode Available	5
Black Box Variational Inference	Dec 31, 2013	Stochastic OptimizationVariational Inference	CodeCode Available	5
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box	Apr 11, 2023	Probabilistic ProgrammingStochastic Optimization	CodeCode Available	5
Deep learning with Elastic Averaging SGD	Dec 20, 2014	Deep Learningimage-classification	CodeCode Available	5
Data-Pooling in Stochastic Optimization	Jun 1, 2019	ManagementStochastic Optimization	CodeCode Available	5
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available	5
A fast and simple modification of Newton's method helping to avoid saddle points	Jun 2, 2020	Protein FoldingStochastic Optimization	CodeCode Available	5
A PID Controller Approach for Stochastic Optimization of Deep Networks	Jun 1, 2018	Stochastic Optimization	CodeCode Available	5
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization	Jun 12, 2020	BIG-bench Machine LearningStochastic Optimization	CodeCode Available	5
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling	May 14, 2023	GPUStochastic Optimization	CodeCode Available	5
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics	Mar 10, 2025	Recommendation SystemsStochastic Optimization	CodeCode Available	5
A Contrastive Divergence for Combining Variational Inference and MCMC	May 10, 2019	Stochastic OptimizationVariational Inference	CodeCode Available	5
An Adaptive and Momental Bound Method for Stochastic Learning	Oct 27, 2019	Stochastic Optimization	CodeCode Available	5
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection	Dec 17, 2019	Community DetectionGraph Embedding	CodeCode Available	5
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication	Feb 1, 2019	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