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 251–275 of 1387 papers

Title	Date	Tasks	Status	Hype
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL	Nov 6, 2023	Quantum State TomographyStochastic Optimization	—Unverified	0
Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions	Nov 6, 2023	Model Predictive ControlStochastic Optimization	—Unverified	0
Riemannian stochastic optimization methods avoid strict saddle points	Nov 4, 2023	Dictionary LearningPolicy Gradient Methods	—Unverified	0
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference	Nov 2, 2023	Stochastic Optimization	—Unverified	0
Dealing with Structure Constraints in Evolutionary Pareto Set Learning	Oct 31, 2023	Multiobjective OptimizationStochastic Optimization	—Unverified	0
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces	Oct 30, 2023	ManagementSecond-order methods	CodeCode Available	0
The Acquisition of Physical Knowledge in Generative Neural Networks	Oct 30, 2023	Stochastic Optimization	CodeCode Available	1
ROM-Based Stochastic Optimization for a Continuous Manufacturing Process	Oct 24, 2023	Bayesian OptimizationStochastic Optimization	—Unverified	0
Sensor Attacks and Resilient Defense on HVAC Systems for Energy Market Signal Tracking	Oct 24, 2023	Model Predictive ControlStochastic Optimization	—Unverified	0
Nonlinear Filtering with Brenier Optimal Transport Maps	Oct 21, 2023	Stochastic Optimization	—Unverified	0
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes	Oct 18, 2023	Stochastic Optimization	—Unverified	0
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function	Oct 18, 2023	ARCSecond-order methods	—Unverified	0
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification	Oct 17, 2023	Stochastic OptimizationUncertainty Quantification	—Unverified	0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout	Oct 16, 2023	Autonomous VehiclesStochastic Optimization	—Unverified	0
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization	Oct 12, 2023	Distributed OptimizationFederated Learning	—Unverified	0
Differentially Private Non-convex Learning for Multi-layer Neural Networks	Oct 12, 2023	Stochastic Optimization	—Unverified	0
Why Do We Need Weight Decay in Modern Deep Learning?	Oct 6, 2023	Deep Learningimage-classification	CodeCode Available	1
Smoothing Methods for Automatic Differentiation Across Conditional Branches	Oct 5, 2023	Stochastic Optimization	CodeCode Available	2
Federated Conditional Stochastic Optimization	Oct 4, 2023	Distributed OptimizationFederated Learning	—Unverified	0
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks	Oct 1, 2023	ClassificationStochastic Optimization	—Unverified	0
Robust Stochastic Optimization via Gradient Quantile Clipping	Sep 29, 2023	Stochastic Optimization	—Unverified	0
Markov Chain Mirror Descent On Data Federation	Sep 26, 2023	Federated LearningStochastic Optimization	—Unverified	0
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms	Sep 25, 2023	Stochastic Optimization	—Unverified	0
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes	Sep 22, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	0
Quasi-Monte Carlo for 3D Sliced Wasserstein	Sep 21, 2023	Stochastic OptimizationStyle Transfer	CodeCode Available	0

Show:10 25 50

← PrevPage 11 of 56Next →

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