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 51–75 of 1387 papers

Title	Date	Tasks	Status	Hype
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification	Dec 6, 2020	ClassificationGeneral Classification	CodeCode Available	1
Bi-level Score Matching for Learning Energy-based Latent Variable Models	Oct 15, 2020	Rolling Shutter CorrectionStochastic Optimization	CodeCode Available	1
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization	Sep 28, 2020	Stochastic Optimization	CodeCode Available	1
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions	Aug 19, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Stochastic Optimization Forests	Aug 17, 2020	Decision MakingStochastic Optimization	CodeCode Available	1
Randomized Automatic Differentiation	Jul 20, 2020	Stochastic OptimizationVariational Inference	CodeCode Available	1
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning	Jun 19, 2020	Federated LearningStochastic Optimization	CodeCode Available	1
Personalized Federated Learning with Moreau Envelopes	Jun 16, 2020	DiversityFederated Learning	CodeCode Available	1
Stochastic Optimization for Performative Prediction	Jun 12, 2020	PredictionStochastic Optimization	CodeCode Available	1
Kernel Distributionally Robust Optimization	Jun 12, 2020	Stochastic Optimization	CodeCode Available	1
Quadruply Stochastic Gaussian Processes	Jun 4, 2020	Gaussian Processesregression	CodeCode Available	1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning	Jun 1, 2020	BIG-bench Machine LearningSecond-order methods	CodeCode Available	1
An Analysis of the Adaptation Speed of Causal Models	May 18, 2020	Meta-LearningStochastic Optimization	CodeCode Available	1
Distributionally Robust Neural Networks	May 1, 2020	L2 RegularizationNatural Language Inference	CodeCode Available	1
Progressive Identification of True Labels for Partial-Label Learning	Feb 19, 2020	Partial Label LearningStochastic Optimization	CodeCode Available	1
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
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization	Feb 13, 2020	Stochastic Optimization	CodeCode Available	1
Self-Directed Online Machine Learning for Topology Optimization	Feb 4, 2020	BIG-bench Machine LearningStochastic Optimization	CodeCode Available	1
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems	Nov 24, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization	Nov 20, 2019	Domain GeneralizationNatural Language Inference	CodeCode Available	1
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation	Oct 29, 2019	Federated LearningPrivacy Preserving	CodeCode Available	1
On the Variance of the Adaptive Learning Rate and Beyond	Aug 8, 2019	image-classificationImage Classification	CodeCode Available	1
Lookahead Optimizer: k steps forward, 1 step back	Jul 19, 2019	Image ClassificationMachine Translation	CodeCode Available	1
ADMM for Efficient Deep Learning with Global Convergence	May 31, 2019	Deep LearningStochastic 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