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 601–625 of 1387 papers

Title	Date	Tasks	Status	Hype
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE	Jul 20, 2021	Data AugmentationDensity Estimation	CodeCode Available	0
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function	Jul 19, 2021	Stochastic OptimizationTransfer Learning	CodeCode Available	0
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning	Jul 19, 2021	Federated LearningStochastic Optimization	—Unverified	0
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints	Jul 19, 2021	Learning TheoryStochastic Optimization	—Unverified	0
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings	Jul 12, 2021	Stochastic Optimization	—Unverified	0
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity	Jul 7, 2021	Language ModelingLanguage Modelling	—Unverified	0
Distributed stochastic optimization with large delays	Jul 6, 2021	Distributed ComputingStochastic Optimization	—Unverified	0
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization	Jul 2, 2021	imbalanced classificationStochastic Optimization	—Unverified	0
Robust Distributed Optimization With Randomly Corrupted Gradients	Jun 28, 2021	Distributed OptimizationStochastic Optimization	—Unverified	0
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails	Jun 28, 2021	Stochastic OptimizationVocal Bursts Intensity Prediction	—Unverified	0
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency	Jun 23, 2021	Stochastic Optimization	—Unverified	0
Asynchronous Stochastic Optimization Robust to Arbitrary Delays	Jun 22, 2021	Distributed OptimizationStochastic Optimization	—Unverified	0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm	Jun 22, 2021	Stochastic Optimization	—Unverified	0
Compositional federated learning: Applications in distributionally robust averaging and meta learning	Jun 21, 2021	BIG-bench Machine LearningFederated Learning	—Unverified	0
The Perils of Learning Before Optimizing	Jun 18, 2021	PredictionStochastic Optimization	—Unverified	0
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses	Jun 17, 2021	Federated LearningStochastic Optimization	CodeCode Available	0
Stochastic Bias-Reduced Gradient Methods	Jun 17, 2021	Stochastic Optimization	—Unverified	0
ATD: Augmenting CP Tensor Decomposition by Self Supervision	Jun 15, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning	Jun 12, 2021	Federated LearningScheduling	—Unverified	0
Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks	Jun 10, 2021	Stochastic Optimization	CodeCode Available	0
High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise	Jun 10, 2021	Stochastic Optimization	CodeCode Available	0
Scaling Up Graph Neural Networks Via Graph Coarsening	Jun 9, 2021	Stochastic Optimization	CodeCode Available	1
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms	Jun 9, 2021	Generalization BoundsLearning Theory	—Unverified	0
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning	Jun 9, 2021	Continual LearningFederated Learning	CodeCode Available	0
Differentiable Quality Diversity	Jun 7, 2021	DiversityStochastic Optimization	CodeCode Available	1

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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