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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 1387 papers

TitleStatusHype
A Sub-sampled Tensor Method for Non-convex Optimization—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization—0
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning—0
Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization—0
Adaptive Online Estimation of Piecewise Polynomial Trends—0
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization—0
Using Statistics to Automate Stochastic Optimization—0
A Sufficient Condition for Convergences of Adam and RMSProp—0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization—0
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares—0
Algorithms for stochastic optimization with functional or expectation constraints—0
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization—0
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima—0
AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration—0
ALS: Augmented Lagrangian Sketching Methods for Linear Systems—0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets—0
Adaptive Sampling Strategies for Stochastic Optimization—0
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—0
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions—0
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds—0
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation—0
Adaptive Shells for Efficient Neural Radiance Field Rendering—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition—0
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization—0
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
Accelerating Stochastic Probabilistic Inference—0
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks—0
Accelerated Parameter-Free Stochastic Optimization—0
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System—0
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization—0
Adaptive Learning Rates for Faster Stochastic Gradient Methods—0
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning—0
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty—0
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes—0
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization—0
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization—0
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems—0
Accelerating Stochastic Gradient Descent For Least Squares Regression—0
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning—0
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization—0
A General Stochastic Optimization Framework for Convergence Bidding—0
A Generalized Version of Chung's Lemma and its Applications—0
Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix—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