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 526–550 of 1387 papers

Title	Date	Tasks	Status	Hype
Variational Nearest Neighbor Gaussian Process	Feb 3, 2022	Gaussian ProcessesStochastic Optimization	—Unverified	0
On the Convergence of mSGD and AdaGrad for Stochastic Optimization	Jan 26, 2022	Stochastic Optimization	—Unverified	0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization	Jan 19, 2022	Federated LearningPrivacy Preserving	—Unverified	0
Stochastic Autograd	Jan 17, 2022	Stochastic OptimizationVariational Inference	—Unverified	0
DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION	Jan 17, 2022	Natural Language InferenceStochastic Optimization	—Unverified	0
Consistent Approximations in Composite Optimization	Jan 13, 2022	Stochastic Optimization	—Unverified	0
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control	Jan 10, 2022	Decision MakingModel-based Reinforcement Learning	—Unverified	0
Coordinated Day-ahead Dispatch of Multiple Power Distribution Grids hosting Stochastic Resources: An ADMM-based Framework	Jan 10, 2022	Distributed OptimizationStochastic Optimization	—Unverified	0
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates	Jan 5, 2022	Dictionary LearningImage Deep Networks	CodeCode Available	0
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback	Dec 28, 2021	Federated LearningStochastic Optimization	CodeCode Available	0
Reinforcement Learning with Dynamic Convex Risk Measures	Dec 26, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Decentralized Multi-Task Stochastic Optimization With Compressed Communications	Dec 23, 2021	Stochastic Optimization	—Unverified	0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces	Dec 21, 2021	CPUEdge-computing	—Unverified	0
Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps	Dec 20, 2021	Stochastic Optimization	—Unverified	0
Correlated Product of Experts for Sparse Gaussian Process Regression	Dec 17, 2021	Gaussian Processesregression	—Unverified	0
Mathematical models of COVID-19 spread	Dec 10, 2021	ClassificationStochastic Optimization	—Unverified	0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data	Dec 7, 2021	Stochastic OptimizationVariational Inference	—Unverified	0
MDPGT: Momentum-based Decentralized Policy Gradient Tracking	Dec 6, 2021	Multi-agent Reinforcement LearningPolicy Gradient Methods	CodeCode Available	0
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery	Dec 6, 2021	Causal DiscoveryStochastic Optimization	CodeCode Available	1
Neural Stochastic Dual Dynamic Programming	Dec 1, 2021	Stochastic Optimization	—Unverified	0
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization	Dec 1, 2021	Bilevel OptimizationStochastic Optimization	—Unverified	0
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization	Dec 1, 2021	Domain GeneralizationStochastic Optimization	—Unverified	0
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning	Dec 1, 2021	Multi-agent Reinforcement LearningReinforcement Learning (RL)	—Unverified	0
Convergence of adaptive algorithms for constrained weakly convex optimization	Dec 1, 2021	Stochastic Optimization	—Unverified	0
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning	Nov 29, 2021	BIG-bench Machine LearningDeep Learning	—Unverified	0

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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