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

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Showing 576–600 of 1387 papers

Title	Date	Tasks	Status
Recursive Monte Carlo and Variational Inference with Auxiliary Variables	Mar 5, 2022	AstronomyStochastic Optimization	CodeCode Available
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes	Feb 25, 2022	Combinatorial OptimizationScheduling	—Unverified
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck	Feb 25, 2022	image-classificationImage Classification	—Unverified
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence	Feb 24, 2022	Information RetrievalRetrieval	CodeCode Available
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications	Feb 24, 2022	Meta-LearningStochastic Optimization	—Unverified
Temporal Difference Learning with Continuous Time and State in the Stochastic Setting	Feb 16, 2022	reinforcement-learningStochastic Optimization	—Unverified
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data	Feb 13, 2022	BIG-bench Machine LearningScheduling	—Unverified
Online Learning for Min Sum Set Cover and Pandora's Box	Feb 10, 2022	Stochastic Optimization	—Unverified
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
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning	Feb 10, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network	Feb 8, 2022	CPUEdge-computing	—Unverified
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights	Feb 7, 2022	Stochastic Optimization	—Unverified
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning	Feb 6, 2022	Q-Learningreinforcement-learning	—Unverified
Variational Nearest Neighbor Gaussian Process	Feb 3, 2022	Gaussian ProcessesStochastic Optimization	—Unverified
On the Convergence of mSGD and AdaGrad for Stochastic Optimization	Jan 26, 2022	Stochastic Optimization	—Unverified
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization	Jan 19, 2022	Federated LearningPrivacy Preserving	—Unverified
DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION	Jan 17, 2022	Natural Language InferenceStochastic Optimization	—Unverified
Stochastic Autograd	Jan 17, 2022	Stochastic OptimizationVariational Inference	—Unverified
Consistent Approximations in Composite Optimization	Jan 13, 2022	Stochastic Optimization	—Unverified
Coordinated Day-ahead Dispatch of Multiple Power Distribution Grids hosting Stochastic Resources: An ADMM-based Framework	Jan 10, 2022	Distributed OptimizationStochastic Optimization	—Unverified
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control	Jan 10, 2022	Decision MakingModel-based Reinforcement Learning	—Unverified
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates	Jan 5, 2022	Dictionary LearningImage Deep Networks	CodeCode Available
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback	Dec 28, 2021	Federated LearningStochastic Optimization	CodeCode Available
Decentralized Multi-Task Stochastic Optimization With Compressed Communications	Dec 23, 2021	Stochastic Optimization	—Unverified
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces	Dec 21, 2021	CPUEdge-computing	—Unverified

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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