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 826–850 of 1387 papers

Title	Date	Tasks	Status	Hype
Stochastic batch size for adaptive regularization in deep network optimization	Apr 14, 2020	image-classificationImage Classification	—Unverified	0
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective	Apr 9, 2020	Federated LearningStochastic Optimization	—Unverified	0
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder	Apr 8, 2020	Protein Structure PredictionStochastic Optimization	CodeCode Available	0
Convergence rates and approximation results for SGD and its continuous-time counterpart	Apr 8, 2020	Stochastic Optimization	—Unverified	0
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning	Apr 7, 2020	Deep LearningStochastic Optimization	—Unverified	0
Direct loss minimization algorithms for sparse Gaussian processes	Apr 7, 2020	Computational EfficiencyGaussian Processes	CodeCode Available	0
Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics	Apr 6, 2020	Stochastic Optimization	—Unverified	0
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models	Mar 30, 2020	Stochastic Optimization	—Unverified	0
Stochastic Flows and Geometric Optimization on the Orthogonal Group	Mar 30, 2020	Metric LearningReinforcement Learning	—Unverified	0
Pipelined Backpropagation at Scale: Training Large Models without Batches	Mar 25, 2020	Image ClassificationStochastic Optimization	—Unverified	0
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates	Mar 23, 2020	Stochastic Optimization	—Unverified	0
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks	Mar 16, 2020	Stochastic Optimization	—Unverified	0
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP	Mar 16, 2020	DiversityStochastic Optimization	—Unverified	0
On Hyper-parameter Tuning for Stochastic Optimization Algorithms	Mar 4, 2020	Bayesian OptimizationEvolutionary Algorithms	—Unverified	0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning	Feb 29, 2020	ClassificationGeneral Classification	—Unverified	0
Affinity guided Geometric Semi-Supervised Metric Learning	Feb 27, 2020	Metric LearningRiemannian optimization	—Unverified	0
IRS-aided Large-Scale MIMO Systems with Passive Constant Envelope Precoding	Feb 26, 2020	Stochastic Optimization	—Unverified	0
Non-asymptotic bounds for stochastic optimization with biased noisy gradient oracles	Feb 26, 2020	Stochastic Optimization	—Unverified	0
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning	Feb 25, 2020	Causal InferenceMeta-Learning	—Unverified	0
Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar	Feb 22, 2020	Reinforcement Learning (RL)Stochastic Optimization	—Unverified	0
Stochastic Optimization for Regularized Wasserstein Estimators	Feb 20, 2020	Stochastic Optimization	—Unverified	0
Progressive Identification of True Labels for Partial-Label Learning	Feb 19, 2020	Partial Label LearningStochastic Optimization	CodeCode Available	1
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes	Feb 19, 2020	Decision MakingGaussian Processes	—Unverified	0
PolyFold: an interactive visual simulator for distance-based protein folding	Feb 14, 2020	Protein FoldingProtein Structure Prediction	CodeCode Available	1
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees	Feb 13, 2020	Gaussian ProcessesGeneralization Bounds	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