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 76–100 of 1387 papers

Title	Date	Tasks	Status	Hype
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks	May 27, 2019	General Classificationimage-classification	CodeCode Available	1
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes	Apr 1, 2019	Question AnsweringStochastic Optimization	CodeCode Available	1
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning	Feb 11, 2019	Bayesian InferenceDeep Learning	CodeCode Available	1
Agnostic Federated Learning	Feb 1, 2019	Cloud ComputingDomain Adaptation	CodeCode Available	1
Learning concise representations for regression by evolving networks of trees	Jul 3, 2018	Disentanglementregression	CodeCode Available	1
Spectral Inference Networks: Unifying Deep and Spectral Learning	Jun 6, 2018	Atari GamesBilevel Optimization	CodeCode Available	1
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost	Apr 11, 2018	Machine TranslationStochastic Optimization	CodeCode Available	1
Averaging Weights Leads to Wider Optima and Better Generalization	Mar 14, 2018	Image ClassificationStochastic Optimization	CodeCode Available	1
Stochastic Hyperparameter Optimization through Hypernetworks	Feb 26, 2018	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	1
Shampoo: Preconditioned Stochastic Tensor Optimization	Feb 26, 2018	Stochastic Optimization	CodeCode Available	1
Training Deep Networks without Learning Rates Through Coin Betting	May 22, 2017	Stochastic Optimization	CodeCode Available	1
Online Learning Rate Adaptation with Hypergradient Descent	Mar 14, 2017	Hyperparameter OptimizationStochastic Optimization	CodeCode Available	1
Deep Generalized Canonical Correlation Analysis	Feb 8, 2017	Representation LearningStochastic Optimization	CodeCode Available	1
SGDR: Stochastic Gradient Descent with Warm Restarts	Aug 13, 2016	EEGElectroencephalogram (EEG)	CodeCode Available	1
Revisiting Distributed Synchronous SGD	Apr 4, 2016	Stochastic Optimization	CodeCode Available	1
Second-Order Stochastic Optimization for Machine Learning in Linear Time	Feb 12, 2016	BIG-bench Machine LearningSecond-order methods	CodeCode Available	1
Variational Inference: A Review for Statisticians	Jan 4, 2016	Stochastic OptimizationVariational Inference	CodeCode Available	1
Optimizing Neural Networks with Kronecker-factored Approximate Curvature	Mar 19, 2015	Stochastic Optimization	CodeCode Available	1
Adam: A Method for Stochastic Optimization	Dec 22, 2014	Stochastic Optimization	CodeCode Available	1
First-order methods for stochastic and finite-sum convex optimization with deterministic constraints	Jun 25, 2025	Stochastic Optimization	—Unverified	0
Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters	Jun 13, 2025	Stochastic Optimization	—Unverified	0
The Sample Complexity of Parameter-Free Stochastic Convex Optimization	Jun 12, 2025	Few-Shot LearningModel Selection	—Unverified	0
Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery	Jun 12, 2025	Age EstimationOverall - Test	—Unverified	0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)	Jun 11, 2025	DiversityQ-Learning	—Unverified	0
Distribution free M-estimation	May 28, 2025	Learning TheoryStochastic Optimization	—Unverified	0

Show:10 25 50

← PrevPage 4 of 56Next →

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