SOTAVerified

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

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Showing 851–900 of 1387 papers

TitleStatusHype
Stochastic Autograd—0
Stochastic batch size for adaptive regularization in deep network optimization—0
Stochastic Bias-Reduced Gradient Methods—0
Stochastic Bound Majorization—0
Stochastic Canonical Correlation Analysis—0
Stochastic Compositional Gradient Descent under Compositional Constraints—0
Stochastic Conditional Gradient++—0
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization—0
Stochastic-Constrained Stochastic Optimization with Markovian Data—0
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence—0
Stochastic Convex Optimization with Multiple Objectives—0
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression—0
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization—0
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization—0
Stochastic Flight Plan Optimization—0
Stochastic Flows and Geometric Optimization on the Orthogonal Group—0
Stochastic gradient algorithms from ODE splitting perspective—0
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint—0
Stochastic Gradient Descent Revisited—0
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning—0
Stochastic gradient-free descents—0
Stochastic Gradient Langevin with Delayed Gradients—0
Stochastic Heavy Ball—0
Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems—0
Stochastic Hybrid Combining Design for Quantized Massive MIMO Systems—0
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments—0
Stochastic Learning-Based Robust Beamforming Design for RIS-Aided Millimeter-Wave Systems in the Presence of Random Blockages—0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison—0
Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings—0
Stochastic Mirror Descent for Large-Scale Sparse Recovery—0
Stochastic Mirror Descent in Variationally Coherent Optimization Problems—0
Stochastic Model Predictive Control with Dynamic Chance Constraints—0
Stochastic MPC for energy hubs using data driven demand forecasting—0
Stochastic Multidimensional Scaling—0
Stochastic Nonconvex Optimization with Large Minibatches—0
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation—0
Stochastic Online Optimization using Kalman Recursion—0
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data—0
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions—0
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence—0
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations—0
Stochastic Optimization for Large-scale Optimal Transport—0
Stochastic Optimization for Machine Learning—0
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function—0
Stochastic Optimization for Non-convex Inf-Projection Problems—0
Stochastic Optimization for Regularized Wasserstein Estimators—0
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic—0
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks—0
Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)—0
Stochastic Optimization of Coupled Power Distribution-Urban Transportation Network Operations with Autonomous Mobility on Demand Systems—0
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All datasetsCIFAR-100 WRN-28-10 - 200 EpochsCIFAR-10 WRN-28-10 - 200 EpochsCIFAR-10 ResNet-18 - 200 EpochsImageNet ResNet-50 - 90 EpochsPenn Treebank (Character Level) 3x1000 LSTM - 500 EpochsCIFAR-10CIFAR-100ImageNet ResNet-50 - 50 EpochsImageNet ResNet-50 - 60 EpochsAG NewsCoLAMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AvaGradAccuracy81.24—Unverified
2AdaShiftAccuracy81.12—Unverified
3Adam (eps-adjusted)Accuracy81.04—Unverified
4SGDAccuracy80.95—Unverified
5AdamWAccuracy79.87—Unverified
6AdaBoundAccuracy77.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Adam (eps-adjusted)Accuracy96.36—Unverified
2AvaGradAccuracy96.2—Unverified
3SGDAccuracy96.14—Unverified
4AdaShiftAccuracy95.92—Unverified
5AdamWAccuracy95.89—Unverified
6AdaBoundAccuracy94.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SGD - cosine LR scheduleAccuracy95.55—Unverified
2LookaheadAccuracy95.27—Unverified
3SGDAccuracy95.23—Unverified
4ADAMAccuracy94.84—Unverified
#ModelMetricClaimedVerifiedStatus
1AvaGradTop 1 Accuracy76.51—Unverified
2SGDTop 1 Accuracy75.99—Unverified
3AdamWTop 1 Accuracy72.9—Unverified
4AdaBoundTop 1 Accuracy72.01—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaBoundBit per Character (BPC)2.86—Unverified
2AdaShiftBit per Character (BPC)1.27—Unverified
3AdamWBit per Character (BPC)1.23—Unverified
4AvaGradBit per Character (BPC)1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)86.85—Unverified
2Resnet34Accuracy (max)86.14—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)58.48—Unverified
2Resnet34Accuracy (max)54.5—Unverified
#ModelMetricClaimedVerifiedStatus
1SGDTop 5 Accuracy92.15—Unverified
2LookaheadTop 1 Accuracy75.13—Unverified
#ModelMetricClaimedVerifiedStatus
1LookaheadTop 1 Accuracy75.49—Unverified
2SGDTop 1 Accuracy75.15—Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)93.99—Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)86.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MLPNLL0.05—Unverified