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 1276–1300 of 1387 papers

Title	Date	Tasks	Status
Reducing the Model Order of Deep Neural Networks Using Information Theory	May 16, 2016	General ClassificationNetwork Pruning	—Unverified
Barzilai-Borwein Step Size for Stochastic Gradient Descent	May 13, 2016	Stochastic Optimization	CodeCode Available
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction	May 9, 2016	parameter estimationSparse Learning	—Unverified
Distributed stochastic optimization for deep learning (thesis)	May 7, 2016	Deep Learningimage-classification	—Unverified
Algorithms for stochastic optimization with functional or expectation constraints	Apr 13, 2016	Stochastic Optimization	—Unverified
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis	Apr 7, 2016	Stochastic Optimization	—Unverified
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods	Mar 18, 2016	Stochastic Optimization	—Unverified
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization	Mar 2, 2016	Distributed OptimizationLearning Theory	—Unverified
Scalable Metric Learning via Weighted Approximate Rank Component Analysis	Mar 1, 2016	Metric LearningPerson Re-Identification	—Unverified
Improved Dropout for Shallow and Deep Learning	Feb 6, 2016	Deep LearningStochastic Optimization	—Unverified
Variance-Reduced and Projection-Free Stochastic Optimization	Feb 5, 2016	Stochastic Optimization	—Unverified
A Kronecker-factored approximate Fisher matrix for convolution layers	Feb 3, 2016	Stochastic Optimization	CodeCode Available
On Deep Multi-View Representation Learning: Objectives and Optimization	Feb 2, 2016	Representation LearningStochastic Optimization	CodeCode Available
SCOPE: Scalable Composite Optimization for Learning on Spark	Jan 30, 2016	Stochastic Optimization	CodeCode Available
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization	Dec 25, 2015	Stochastic Optimization	CodeCode Available
Efficient Distributed SGD with Variance Reduction	Dec 9, 2015	Stochastic Optimization	—Unverified
Variance Reduction for Distributed Stochastic Gradient Descent	Dec 5, 2015	Stochastic Optimization	—Unverified
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care	Dec 1, 2015	Stochastic Optimization	—Unverified
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer	Dec 1, 2015	Image SegmentationSemantic Segmentation	—Unverified
Local Smoothness in Variance Reduced Optimization	Dec 1, 2015	Stochastic Optimization	—Unverified
Fast Rates for Exp-concave Empirical Risk Minimization	Dec 1, 2015	regressionStochastic Optimization	—Unverified
Adaptive Stochastic Optimization: From Sets to Paths	Dec 1, 2015	Stochastic Optimization	—Unverified
Constant Time EXPected Similarity Estimation using Stochastic Optimization	Nov 17, 2015	Anomaly DetectionStochastic Optimization	—Unverified
Joint Training of Generic CNN-CRF Models with Stochastic Optimization	Nov 16, 2015	Stochastic Optimization	—Unverified
Large-Scale Approximate Kernel Canonical Correlation Analysis	Nov 15, 2015	Representation LearningStochastic 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