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 26–50 of 1387 papers

Title	Date	Tasks	Status	Hype
End-to-End Stochastic Optimization with Energy-Based Model	Nov 25, 2022	SchedulingStochastic Optimization	CodeCode Available	1
Stochastic Gradient Descent Captures How Children Learn About Physics	Sep 25, 2022	Stochastic Optimization	CodeCode Available	1
Sequential Manipulation Planning on Scene Graph	Jul 10, 2022	Object RearrangementStochastic Optimization	CodeCode Available	1
Communication-Efficient Adaptive Federated Learning	May 5, 2022	Federated LearningQuantization	CodeCode Available	1
Exploiting Explainable Metrics for Augmented SGD	Mar 31, 2022	Stochastic Optimization	CodeCode Available	1
A Framework for Improving the Reliability of Black-box Variational Inference	Mar 29, 2022	Bayesian InferenceStochastic Optimization	CodeCode Available	1
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance	Feb 24, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Adapting to Mixing Time in Stochastic Optimization with Markovian Data	Feb 9, 2022	Stochastic Optimization	CodeCode Available	1
Reinforcement Learning with Dynamic Convex Risk Measures	Dec 26, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery	Dec 6, 2021	Causal DiscoveryStochastic Optimization	CodeCode Available	1
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT)	Nov 4, 2021	compressed sensingImage Reconstruction	CodeCode Available	1
slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks	Sep 28, 2021	SensitivityStochastic Optimization	CodeCode Available	1
ATD: Augmenting CP Tensor Decomposition by Self Supervision	Jun 15, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1
Scaling Up Graph Neural Networks Via Graph Coarsening	Jun 9, 2021	Stochastic Optimization	CodeCode Available	1
Differentiable Quality Diversity	Jun 7, 2021	DiversityStochastic Optimization	CodeCode Available	1
Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference	May 17, 2021	Stochastic Optimization	CodeCode Available	1
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence	Apr 18, 2021	Stochastic Optimization	CodeCode Available	1
A Stochastic Optimization Framework for Fair Risk Minimization	Feb 24, 2021	Binary ClassificationFairness	CodeCode Available	1
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training	Feb 17, 2021	ClassificationGeneral Classification	CodeCode Available	1
Parameter-free Stochastic Optimization of Variationally Coherent Functions	Jan 30, 2021	Stochastic Optimization	CodeCode Available	1
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization	Jan 26, 2021	Stochastic Optimization	CodeCode Available	1
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks	Jan 1, 2021	Backdoor Attackbackdoor defense	CodeCode Available	1
Stochastic Gradient Variance Reduction by Solving a Filtering Problem	Dec 22, 2020	Stochastic Optimization	CodeCode Available	1
Learning from History for Byzantine Robust Optimization	Dec 18, 2020	Federated LearningStochastic Optimization	CodeCode Available	1
Quality-Diversity Optimization: a novel branch of stochastic optimization	Dec 8, 2020	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