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 1251–1300 of 1387 papers

TitleStatusHype
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization—0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization—0
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss—0
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs—0
Community Detection for Power Systems Network Aggregation Considering Renewable Variability—0
Comparative analysis of criteria for filtering time series of word usage frequencies—0
Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach—0
Competing Adaptive Networks—0
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery—0
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness—0
Complexity of Stochastic Dual Dynamic Programming—0
Compositional federated learning: Applications in distributionally robust averaging and meta learning—0
Compositional Training for End-to-End Deep AUC Maximization—0
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching—0
CONGO: Compressive Online Gradient Optimization—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
Conservative Stochastic Optimization with Expectation Constraints—0
Consistent Approximations in Composite Optimization—0
Constant Time EXPected Similarity Estimation using Stochastic Optimization—0
Constrained Environment Optimization for Prioritized Multi-Agent Navigation—0
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning—0
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions—0
Constraint-Handling Techniques for Particle Swarm Optimization Algorithms—0
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization—0
Contextual Learning for Stochastic Optimization—0
Contextual Pandora's Box—0
Contextual Reinforcement Learning for Offshore Wind Farm Bidding—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
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
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
Copula variational inference—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
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks—0
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing—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
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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