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 13011325 of 1387 papers

TitleStatusHype
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling0
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?0
Stochastic Proximal Gradient Descent for Nuclear Norm Regularization0
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation0
Optimization for Gaussian Processes via Chaining0
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations0
The Proximal Robbins-Monro Method0
Towards Machine Wald0
Asynchronous stochastic convex optimizationCode0
Particle Swarm Optimization for Weighted Sum Rate Maximization in MIMO Broadcast Channels0
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization0
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis0
ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables0
Copula variational inference0
Faster SGD Using Sketched Conditioning0
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization0
Building Proteins in a Day: Efficient 3D Molecular Reconstruction0
Sparse Linear Regression With Missing Data0
Fusion of Image Segmentation Algorithms using Consensus Clustering0
Probabilistic Line Searches for Stochastic OptimizationCode0
Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM0
Optimal Trading with Alpha Predictors0
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss0
Deep learning with Elastic Averaging SGDCode0
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering0
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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