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

Showing 501525 of 1387 papers

TitleStatusHype
Faster variational inducing input Gaussian process classification0
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization0
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks0
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe0
Fast Rates for Bandit PAC Multiclass Classification0
Fast Rates for Exp-concave Empirical Risk Minimization0
Fast Reinforcement Learning for Energy-Efficient Wireless Communications0
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems0
Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning0
f-Divergence Variational Inference0
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness0
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery0
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity0
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions0
Competing Adaptive Networks0
Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach0
A novel Deep Neural Network architecture for non-linear system identification0
A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 20170
Comparative analysis of criteria for filtering time series of word usage frequencies0
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data0
Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization0
Community Detection for Power Systems Network Aggregation Considering Renewable Variability0
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs0
A General Reduction for High-Probability Analysis with General Light-Tailed Distributions0
Show:102550
← PrevPage 21 of 56Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AvaGradAccuracy81.24Unverified
2AdaShiftAccuracy81.12Unverified
3Adam (eps-adjusted)Accuracy81.04Unverified
4SGDAccuracy80.95Unverified
5AdamWAccuracy79.87Unverified
6AdaBoundAccuracy77.24Unverified
#ModelMetricClaimedVerifiedStatus
1Adam (eps-adjusted)Accuracy96.36Unverified
2AvaGradAccuracy96.2Unverified
3SGDAccuracy96.14Unverified
4AdaShiftAccuracy95.92Unverified
5AdamWAccuracy95.89Unverified
6AdaBoundAccuracy94.6Unverified
#ModelMetricClaimedVerifiedStatus
1SGD - cosine LR scheduleAccuracy95.55Unverified
2LookaheadAccuracy95.27Unverified
3SGDAccuracy95.23Unverified
4ADAMAccuracy94.84Unverified
#ModelMetricClaimedVerifiedStatus
1AvaGradTop 1 Accuracy76.51Unverified
2SGDTop 1 Accuracy75.99Unverified
3AdamWTop 1 Accuracy72.9Unverified
4AdaBoundTop 1 Accuracy72.01Unverified
#ModelMetricClaimedVerifiedStatus
1AdaBoundBit per Character (BPC)2.86Unverified
2AdaShiftBit per Character (BPC)1.27Unverified
3AdamWBit per Character (BPC)1.23Unverified
4AvaGradBit per Character (BPC)1.18Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)86.85Unverified
2Resnet34Accuracy (max)86.14Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)58.48Unverified
2Resnet34Accuracy (max)54.5Unverified
#ModelMetricClaimedVerifiedStatus
1SGDTop 5 Accuracy92.15Unverified
2LookaheadTop 1 Accuracy75.13Unverified
#ModelMetricClaimedVerifiedStatus
1LookaheadTop 1 Accuracy75.49Unverified
2SGDTop 1 Accuracy75.15Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)93.99Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)86.34Unverified
#ModelMetricClaimedVerifiedStatus
1MLPNLL0.05Unverified