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 1201–1225 of 1387 papers

Title	Date	Tasks	Status
Biased Importance Sampling for Deep Neural Network Training	May 31, 2017	image-classificationImage Classification	CodeCode Available
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization	May 18, 2017	Stochastic Optimization	CodeCode Available
Comments on the proof of adaptive submodular function minimization	May 10, 2017	Active LearningStochastic Optimization	—Unverified
Accelerating Stochastic Gradient Descent For Least Squares Regression	Apr 26, 2017	regressionStochastic Optimization	—Unverified
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks	Apr 25, 2017	Stochastic Optimization	—Unverified
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning	Apr 21, 2017	Domain AdaptationMachine Translation	CodeCode Available
Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case	Apr 20, 2017	Stochastic Optimization	—Unverified
Importance Sampled Stochastic Optimization for Variational Inference	Apr 19, 2017	Probabilistic ProgrammingStochastic Optimization	—Unverified
Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction	Apr 17, 2017	Stochastic Optimization	—Unverified
Probabilistic Line Searches for Stochastic Optimization	Mar 29, 2017	Bayesian OptimizationStochastic Optimization	CodeCode Available
Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations	Mar 21, 2017	Stochastic Optimization	—Unverified
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent	Mar 20, 2017	Stochastic Optimization	—Unverified
Incorporating statistical model error into the calculation of acceptability prices of contingent claims	Mar 16, 2017	Stochastic Optimization	—Unverified
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks	Mar 13, 2017	Stochastic Optimization	—Unverified
Task-based End-to-end Model Learning in Stochastic Optimization	Mar 13, 2017	BIG-bench Machine LearningScheduling	CodeCode Available
Learning to Optimize Neural Nets	Mar 1, 2017	reinforcement-learningReinforcement Learning	—Unverified
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization	Mar 1, 2017	Computational EfficiencyStochastic Optimization	—Unverified
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe	Feb 22, 2017	BIG-bench Machine LearningStochastic Optimization	—Unverified
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch-Prox	Feb 21, 2017	Stochastic Optimization	—Unverified
Stochastic Canonical Correlation Analysis	Feb 21, 2017	Stochastic Optimization	—Unverified
Revisiting Distributed Synchronous SGD	Feb 19, 2017	Stochastic Optimization	—Unverified
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter	Feb 2, 2017	Stochastic Optimization	—Unverified
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization	Jan 14, 2017	Stochastic Optimization	—Unverified
Maximum Entropy Flow Networks	Jan 12, 2017	Stochastic Optimization	—Unverified
Stochastic Multidimensional Scaling	Dec 21, 2016	Dimensionality ReductionStochastic 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