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 1–25 of 1387 papers

Title	Date	Tasks	Status	Hype
Benchopt: Reproducible, efficient and collaborative optimization benchmarks	Jun 27, 2022	Benchmarkingimage-classification	CodeCode Available	4
MARS: Unleashing the Power of Variance Reduction for Training Large Models	Nov 15, 2024	Stochastic Optimization	CodeCode Available	4
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training	May 23, 2023	Language ModelingLanguage Modelling	CodeCode Available	2
Smoothing Methods for Automatic Differentiation Across Conditional Branches	Oct 5, 2023	Stochastic Optimization	CodeCode Available	2
Riemannian Adaptive Optimization Methods	Oct 1, 2018	Riemannian optimizationStochastic Optimization	CodeCode Available	2
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	Jun 8, 2017	Stochastic Optimization	CodeCode Available	2
Conformal Symplectic Optimization for Stable Reinforcement Learning	Dec 3, 2024	Atari GamesDeep Reinforcement Learning	CodeCode Available	2
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows	Apr 3, 2023	Combinatorial OptimizationStochastic Optimization	CodeCode Available	1
Averaging Weights Leads to Wider Optima and Better Generalization	Mar 14, 2018	Image ClassificationStochastic Optimization	CodeCode Available	1
Communication-Efficient Adaptive Federated Learning	May 5, 2022	Federated LearningQuantization	CodeCode Available	1
ATD: Augmenting CP Tensor Decomposition by Self Supervision	Jun 15, 2021	Data AugmentationDimensionality Reduction	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
An Analysis of the Adaptation Speed of Causal Models	May 18, 2020	Meta-LearningStochastic 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
A Novel Unified Parametric Assumption for Nonconvex Optimization	Feb 17, 2025	Stochastic Optimization	CodeCode Available	1
Adam: A Method for Stochastic Optimization	Dec 22, 2014	Stochastic Optimization	CodeCode Available	1
JaxSGMC: Modular stochastic gradient MCMC in JAX	May 16, 2025	Deep LearningStochastic Optimization	CodeCode Available	1
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization	Feb 13, 2020	Stochastic Optimization	CodeCode Available	1
ADMM for Efficient Deep Learning with Global Convergence	May 31, 2019	Deep LearningStochastic Optimization	CodeCode Available	1
Agnostic Federated Learning	Feb 1, 2019	Cloud ComputingDomain Adaptation	CodeCode Available	1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning	Jun 1, 2020	BIG-bench Machine LearningSecond-order methods	CodeCode Available	1
A Variational Perspective on Solving Inverse Problems with Diffusion Models	May 7, 2023	DenoisingImage Restoration	CodeCode Available	1
Adapting to Mixing Time in Stochastic Optimization with Markovian Data	Feb 9, 2022	Stochastic Optimization	CodeCode Available	1

Show:10 25 50

← PrevPage 1 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