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 301–350 of 1387 papers

TitleStatusHype
Contextual Pandora's Box—0
Contextual Reinforcement Learning for Offshore Wind Farm Bidding—0
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy—0
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions—0
Convergence rates and approximation results for SGD and its continuous-time counterpart—0
A preconditioned accelerated stochastic gradient descent algorithm—0
Contracts in Electricity Markets under EU ETS: A Stochastic Programming Approach—0
Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method—0
Convergence Analysis of Riemannian Stochastic Approximation Schemes—0
An adaptive stochastic optimization algorithm for resource allocation—0
Convergence diagnostics for stochastic gradient descent with constant step size—0
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case—0
Convergence of adaptive algorithms for constrained weakly convex optimization—0
Convergence of adaptive algorithms for weakly convex constrained optimization—0
Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters—0
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis—0
Convergence and Dynamical Behavior of the ADAM Algorithm for Non-Convex Stochastic Optimization—0
Convergence Rate Analysis of LION—0
Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization—0
ADMM-based Networked Stochastic Variational Inference—0
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization—0
Copula variational inference—0
Conservative Stochastic Optimization with Expectation Constraints—0
Correlated Product of Experts for Sparse Gaussian Process Regression—0
Cost-aware Feature Selection for IoT Device Classification—0
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables—0
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization—0
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks—0
A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling—0
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization—0
Accelerate RNN-based Training with Importance Sampling—0
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing—0
CONGO: Compressive Online Gradient Optimization—0
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation—0
Data augmentation as stochastic optimization—0
How Data Augmentation affects Optimization for Linear Regression—0
Data Dependent Convergence for Distributed Stochastic Optimization—0
Data driven Dirichlet sampling on manifolds—0
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning—0
Data-driven satisficing measure and ranking—0
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing—0
Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems providing Frequency Regulation—0
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization—0
Debiasing Conditional Stochastic Optimization—0
Decentralized Multi-Task Stochastic Optimization With Compressed Communications—0
Decentralized Online Learning with Kernels—0
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity—0
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching—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