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 376–400 of 1387 papers

Title	Date	Tasks	Status	Hype
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance	Feb 2, 2023	Stochastic Optimization	—Unverified	0
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning	Feb 2, 2023	Stochastic OptimizationVocal Bursts Valence Prediction	—Unverified	0
Distributed Stochastic Optimization under a General Variance Condition	Jan 30, 2023	Stochastic Optimization	—Unverified	0
Online Kernel Sliced Inverse Regression	Jan 23, 2023	Dimensionality Reductionregression	—Unverified	0
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret	Jan 21, 2023	Federated LearningStochastic Optimization	—Unverified	0
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization	Jan 16, 2023	Stochastic Optimization	—Unverified	0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees	Jan 15, 2023	FairnessStochastic Optimization	—Unverified	0
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation	Jan 9, 2023	parameter estimationStochastic Optimization	—Unverified	0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty	Jan 4, 2023	energy tradingScheduling	—Unverified	0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks	Jan 3, 2023	Computational EfficiencyDeep Reinforcement Learning	—Unverified	0
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning	Jan 3, 2023	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization	Jan 1, 2023	Stochastic Optimization	—Unverified	0
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks	Dec 31, 2022	Reinforcement Learning (RL)Stochastic Optimization	—Unverified	0
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles	Dec 28, 2022	Autonomous Vehiclesobject-detection	—Unverified	0
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers	Dec 19, 2022	BenchmarkingStochastic Optimization	—Unverified	0
Support Vector Regression: Risk Quadrangle Framework	Dec 18, 2022	Managementregression	—Unverified	0
Federated Learning with Flexible Control	Dec 16, 2022	Federated LearningStochastic Optimization	—Unverified	0
Huber-energy measure quantization	Dec 15, 2022	QuantizationStochastic Optimization	—Unverified	0
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning	Dec 12, 2022	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model	Dec 11, 2022	Stochastic Optimization	CodeCode Available	0
Stochastic Optimization for Spectral Risk Measures	Dec 10, 2022	Stochastic Optimization	CodeCode Available	0
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems	Dec 6, 2022	Stochastic Optimization	—Unverified	0
On the Overlooked Structure of Stochastic Gradients	Dec 5, 2022	Deep LearningStochastic Optimization	—Unverified	0
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization	Dec 5, 2022	Stochastic Optimization	CodeCode Available	0
Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework	Dec 3, 2022	Generalization BoundsManagement	—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