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 101–125 of 1387 papers

TitleStatusHype
Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization—0
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning—0
Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization—0
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares—0
Adaptive Online Estimation of Piecewise Polynomial Trends—0
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization—0
Using Statistics to Automate Stochastic Optimization—0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization—0
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—0
Algorithms for stochastic optimization with functional or expectation constraints—0
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization—0
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima—0
AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration—0
ALS: Augmented Lagrangian Sketching Methods for Linear Systems—0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets—0
Adaptive Sampling Strategies for Stochastic Optimization—0
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks—0
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions—0
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds—0
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation—0
Adaptive Shells for Efficient Neural Radiance Field Rendering—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
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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