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 1101–1150 of 1387 papers

TitleStatusHype
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering—0
Adaptive Stochastic Optimization—0
Adaptive Stochastic Optimization: From Sets to Paths—0
Adaptive Strategies in Non-convex Optimization—0
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization—0
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter—0
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions—0
AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio—0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes—0
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima—0
ADMM-based Networked Stochastic Variational Inference—0
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization—0
Advances in Asynchronous Parallel and Distributed Optimization—0
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement—0
Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar—0
A Dynamic Sampling Adaptive-SGD Method for Machine Learning—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
A Filtering Approach to Stochastic Variational Inference—0
A Full Adagrad algorithm with O(Nd) operations—0
A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating—0
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization—0
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification—0
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression—0
A Generalized Version of Chung's Lemma and its Applications—0
A General Stochastic Optimization Framework for Convergence Bidding—0
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization—0
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization—0
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization—0
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System—0
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—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
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 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
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization—0
An Efficient Algorithm for Deep Stochastic Contextual Bandits—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