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 1226–1250 of 1387 papers

Title	Date	Tasks	Status
Asymptotic Optimality in Stochastic Optimization	Dec 16, 2016	Stochastic Optimization	—Unverified
Coupling Adaptive Batch Sizes with Learning Rates	Dec 15, 2016	image-classificationImage Classification	CodeCode Available
An empirical analysis of the optimization of deep network loss surfaces	Dec 13, 2016	Stochastic Optimization	—Unverified
Without-Replacement Sampling for Stochastic Gradient Methods	Dec 1, 2016	Distributed OptimizationLearning Theory	—Unverified
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities	Dec 1, 2016	General ClassificationLanguage Modeling	—Unverified
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling	Nov 23, 2016	Language ModelingLanguage Modelling	—Unverified
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models	Nov 22, 2016	Stochastic Optimization	—Unverified
Optimizing connection weights in neural networks using the whale optimization algorithm	Nov 21, 2016	Stochastic Optimization	—Unverified
Scalable Adaptive Stochastic Optimization Using Random Projections	Nov 21, 2016	Dimensionality ReductionStochastic Optimization	—Unverified
Scalable Approximations for Generalized Linear Problems	Nov 21, 2016	Binary ClassificationGeneral Classification	—Unverified
Faster variational inducing input Gaussian process classification	Nov 18, 2016	ClassificationDimensionality Reduction	—Unverified
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression	Nov 18, 2016	regressionStochastic Optimization	—Unverified
The Asset Liability Management problem of a nuclear operator : a numerical stochastic optimization approach	Nov 15, 2016	ManagementStochastic Optimization	—Unverified
Greedy Step Averaging: A parameter-free stochastic optimization method	Nov 11, 2016	Stochastic Optimization	CodeCode Available
Learning from Untrusted Data	Nov 7, 2016	Stochastic Optimization	—Unverified
Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates	Nov 4, 2016	General Classificationimage-classification	CodeCode Available
Learning Deep Embeddings with Histogram Loss	Nov 2, 2016	Stochastic Optimization	CodeCode Available
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction	Oct 29, 2016	Stochastic Optimization	—Unverified
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms	Oct 18, 2016	Bayesian InferenceStochastic Optimization	CodeCode Available
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach	Oct 11, 2016	Stochastic Optimization	—Unverified
Variance-based regularization with convex objectives	Oct 8, 2016	General ClassificationStochastic Optimization	CodeCode Available
Boost K-Means	Oct 8, 2016	ClusteringImage Clustering	—Unverified
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure	Oct 4, 2016	Data AugmentationStochastic Optimization	CodeCode Available
Exact and Inexact Subsampled Newton Methods for Optimization	Sep 27, 2016	Stochastic Optimization	—Unverified
Sooner than Expected: Hitting the Wall of Complexity in Evolution	Sep 25, 2016	Artificial LifeStochastic Optimization	—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