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 1151–1175 of 1387 papers

Title	Date	Tasks	Status
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds	Aug 25, 2021	Riemannian optimizationStochastic Optimization	CodeCode Available
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization	Jan 25, 2019	Stochastic Optimization	CodeCode Available
HyperAdam: A Learnable Task-Adaptive Adam for Network Training	Nov 22, 2018	Stochastic Optimization	CodeCode Available
A deep generative model for gene expression profiles from single-cell RNA sequencing	Sep 7, 2017	Stochastic OptimizationVariational Inference	CodeCode Available
CYCLADES: Conflict-free Asynchronous Machine Learning	May 31, 2016	BIG-bench Machine LearningStochastic Optimization	CodeCode Available
Learning with risks based on M-location	Dec 4, 2020	Stochastic Optimization	CodeCode Available
Deep learning with Elastic Averaging SGD	Dec 20, 2014	Deep Learningimage-classification	CodeCode Available
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available
Stochastic Iterative Graph Matching	Jun 4, 2021	Graph MatchingStochastic Optimization	CodeCode Available
Deep Stochastic Optimization in Finance	May 9, 2022	Stochastic Optimization	CodeCode Available
DeepType: Multilingual Entity Linking by Neural Type System Evolution	Feb 3, 2018	Entity DisambiguationEntity Embeddings	CodeCode Available
Concealing Sensitive Samples against Gradient Leakage in Federated Learning	Sep 13, 2022	Federated LearningStochastic Optimization	CodeCode Available
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems	Apr 19, 2018	Q-LearningStochastic Optimization	CodeCode Available
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis	Feb 26, 2018	Deep LearningNeural Architecture Search	CodeCode Available
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization	Dec 29, 2018	Stochastic Optimization	CodeCode Available
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping	May 21, 2020	Stochastic Optimization	CodeCode Available
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization	May 9, 2019	Stochastic Optimization	CodeCode Available
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference	Oct 5, 2018	Stochastic OptimizationVariational Inference	CodeCode Available
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more	Dec 17, 2019	Stochastic Optimization	CodeCode Available
Probabilistic Line Searches for Stochastic Optimization	Mar 29, 2017	Bayesian OptimizationStochastic Optimization	CodeCode Available
n-Step Temporal Difference Learning with Optimal n	Mar 13, 2023	Stochastic Optimization	CodeCode Available
Probabilistic Line Searches for Stochastic Optimization	Feb 10, 2015	Bayesian OptimizationStochastic Optimization	CodeCode Available
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions	Aug 9, 2024	Stochastic Optimization	CodeCode Available
ODE-based Learning to Optimize	Jun 4, 2024	NavigateStochastic Optimization	CodeCode Available
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction	Sep 9, 2024	Stochastic Optimization	CodeCode Available

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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