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 201–225 of 1387 papers

Title	Date	Tasks	Status	Score
Likelihood-based inference and forecasting for trawl processes: a stochastic optimization approach	Aug 30, 2023	parameter estimationStochastic Optimization	CodeCode Available	5
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale	Sep 12, 2023	GPUStochastic Optimization	CodeCode Available	5
Deep learning with Elastic Averaging SGD	Dec 20, 2014	Deep Learningimage-classification	CodeCode Available	5
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization	Feb 20, 2019	Stochastic Optimization	CodeCode Available	5
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses	Jun 17, 2021	Federated LearningStochastic Optimization	CodeCode Available	5
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions	Apr 8, 2019	Image SegmentationSemantic Segmentation	CodeCode Available	5
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available	5
Subsampled Ensemble Can Improve Generalization Tail Exponentially	May 23, 2024	Ensemble LearningStochastic Optimization	CodeCode Available	5
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence	Aug 22, 2022	Decision MakingFairness	CodeCode Available	5
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems	Feb 10, 2022	Generative Adversarial NetworkStochastic Optimization	CodeCode Available	5
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients	Jun 21, 2020	Image ClassificationMachine Translation	CodeCode Available	5
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization	Jan 25, 2019	Stochastic Optimization	CodeCode Available	5
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning	Apr 21, 2017	Domain AdaptationMachine Translation	CodeCode Available	5
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control	Jan 28, 2020	Stochastic Optimization	CodeCode Available	5
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication	Feb 1, 2019	Stochastic Optimization	CodeCode Available	5
Barzilai-Borwein Step Size for Stochastic Gradient Descent	May 13, 2016	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
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks	May 25, 2023	Stochastic Optimization	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
CYCLADES: Conflict-free Asynchronous Machine Learning	May 31, 2016	BIG-bench Machine LearningStochastic Optimization	CodeCode Available	5
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach	Jun 14, 2023	Data Augmentationimage-classification	CodeCode Available	5
Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks	Sep 25, 2024	Stochastic Optimization	CodeCode Available	5
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics	Mar 10, 2025	Recommendation SystemsStochastic Optimization	CodeCode Available	5
Deep Stochastic Optimization in Finance	May 9, 2022	Stochastic Optimization	CodeCode Available	5
Better SGD using Second-order Momentum	Mar 4, 2021	Stochastic Optimization	CodeCode Available	5

Show:10 25 50

← PrevPage 9 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