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 451–500 of 1387 papers

TitleStatusHype
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement LearningCode0
Regret Minimization with Noisy Observations—0
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty—0
Sequential Manipulation Planning on Scene GraphCode1
Improved Binary Forward Exploration: Learning Rate Scheduling Method for Stochastic Optimization—0
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology—0
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization—0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates—0
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems—0
Benchopt: Reproducible, efficient and collaborative optimization benchmarksCode4
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data—0
Multi-period Optimal Control for Mobile Agents Considering State Unpredictability—0
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems—0
A Unified Convergence Theorem for Stochastic Optimization Methods—0
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization—0
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares—0
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization—0
Last-iterate convergence analysis of stochastic momentum methods for neural networks—0
Hybrid Offline-Online Design for Reconfigurable Intelligent Surface Aided UAV Communication—0
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic ProgrammingCode0
Predictor-corrector algorithms for stochastic optimization under gradual distribution shiftCode0
Contextual Pandora's Box—0
Learning from time-dependent streaming data with online stochastic algorithms—0
Learning-Based sensitivity analysis and feedback design for drug delivery of mixed therapy of cancer in the presence of high model uncertainties—0
Heavy-Tail Phenomenon in Decentralized SGD—0
Deep Stochastic Optimization in FinanceCode0
Decentralized Stochastic Optimization with Inherent Privacy Protection—0
Estimation and Inference by Stochastic Optimization—0
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms—0
Communication-Efficient Adaptive Federated LearningCode1
Gradient Descent, Stochastic Optimization, and Other Tales—0
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints—0
Streaming Algorithms for High-Dimensional Robust Statistics—0
An Online Stochastic Optimization Approach for Insulin Intensification in Type 2 Diabetes with Attention to Pseudo-HypoglycemiaCode0
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks—0
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
Distributed Evolution Strategies for Black-box Stochastic Optimization—0
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise—0
Supervised Robustness-preserving Data-free Neural Network PruningCode0
AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio—0
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control—0
Data Sampling Affects the Complexity of Online SGD over Dependent Data—0
Exploiting Explainable Metrics for Augmented SGDCode1
A Framework for Improving the Reliability of Black-box Variational InferenceCode1
Two-timescale Resource Allocation for Automated Networks in IIoT—0
Learning from Label Proportions with Instance-wise ConsistencyCode0
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic OptimizationCode0
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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