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 51–75 of 1387 papers

Title	Date	Tasks	Status	Hype
Parameter-free Stochastic Optimization of Variationally Coherent Functions	Jan 30, 2021	Stochastic Optimization	CodeCode Available	1
Personalized Federated Learning with Moreau Envelopes	Jun 16, 2020	DiversityFederated Learning	CodeCode Available	1
A Novel Unified Parametric Assumption for Nonconvex Optimization	Feb 17, 2025	Stochastic Optimization	CodeCode Available	1
PolyFold: an interactive visual simulator for distance-based protein folding	Feb 14, 2020	Protein FoldingProtein Structure Prediction	CodeCode Available	1
Quality-Diversity Optimization: a novel branch of stochastic optimization	Dec 8, 2020	DiversityStochastic Optimization	CodeCode Available	1
Randomized Automatic Differentiation	Jul 20, 2020	Stochastic OptimizationVariational Inference	CodeCode Available	1
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes	Apr 1, 2019	Question AnsweringStochastic Optimization	CodeCode Available	1
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions	Aug 19, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Adaptive Semantic Token Communication for Transformer-based Edge Inference	May 23, 2025	object-detectionObject Detection	CodeCode Available	1
ATD: Augmenting CP Tensor Decomposition by Self Supervision	Jun 15, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification	Dec 6, 2020	ClassificationGeneral Classification	CodeCode Available	1
Scaling Up Graph Neural Networks Via Graph Coarsening	Jun 9, 2021	Stochastic Optimization	CodeCode Available	1
Agnostic Federated Learning	Feb 1, 2019	Cloud ComputingDomain Adaptation	CodeCode Available	1
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning	Jun 19, 2020	Federated LearningStochastic Optimization	CodeCode Available	1
An Analysis of the Adaptation Speed of Causal Models	May 18, 2020	Meta-LearningStochastic Optimization	CodeCode Available	1
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization	Sep 28, 2020	Stochastic Optimization	CodeCode Available	1
A Variational Perspective on Solving Inverse Problems with Diffusion Models	May 7, 2023	DenoisingImage Restoration	CodeCode Available	1
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery	Dec 6, 2021	Causal DiscoveryStochastic Optimization	CodeCode Available	1
Bi-level Score Matching for Learning Energy-based Latent Variable Models	Oct 15, 2020	Rolling Shutter CorrectionStochastic Optimization	CodeCode Available	1
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models	Jun 29, 2023	BinarizationImage Classification	CodeCode Available	1
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization	Feb 13, 2020	Stochastic Optimization	CodeCode Available	1
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization	Jan 26, 2021	Stochastic Optimization	CodeCode Available	1
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One	Apr 20, 2023	Stochastic Optimization	CodeCode Available	1
Deep Generalized Canonical Correlation Analysis	Feb 8, 2017	Representation LearningStochastic Optimization	CodeCode Available	1
Exploiting Explainable Metrics for Augmented SGD	Mar 31, 2022	Stochastic Optimization	CodeCode Available	1

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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