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 801–850 of 1387 papers

TitleStatusHype
Semi-Bandit Learning for Monotone Stochastic Optimization—0
Sensitivity Analyses of Resilience-oriented Risk-averse Active Distribution Systems Planning—0
Sensor Attacks and Resilient Defense on HVAC Systems for Energy Market Signal Tracking—0
Sequential Stochastic Optimization in Separable Learning Environments—0
SGDEM: stochastic gradient descent with energy and momentum—0
SGD Implicitly Regularizes Generalization Error—0
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance—0
SGD with Clipping is Secretly Estimating the Median Gradient—0
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity—0
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points—0
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees—0
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization—0
signSGD via Zeroth-Order Oracle—0
Simultaneous Clustering and Model Selection for Tensor Affinities—0
Simultaneous shot inversion for nonuniform geometries using fast data interpolation—0
Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions—0
Smoothed Gradients for Stochastic Variational Inference—0
Smoothing Policies and Safe Policy Gradients—0
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix—0
Solving Decision-Dependent Games by Learning from Feedback—0
Solving Dense Linear Systems Faster Than via Preconditioning—0
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization—0
Solving the Schrodinger equation with genetic algorithms: a practical approach—0
Sooner than Expected: Hitting the Wall of Complexity in Evolution—0
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes—0
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization—0
Sparse Linear Regression With Missing Data—0
Sparse recovery by reduced variance stochastic approximation—0
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem—0
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions—0
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator—0
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator—0
Splitting method for spatio-temporal search efforts planning—0
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems—0
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations—0
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems—0
Stability and Performance Limits of Adaptive Primal-Dual Networks—0
The Proximal Robbins-Monro Method—0
State-of-charge Estimation of a Li-ion Battery using Deep Learning and Stochastic Optimization—0
Statistical Adaptive Stochastic Optimization—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients—0
Statistical Inference for Weighted Sample Average Approximation in Contextual Stochastic Optimization—0
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach—0
Steering Large Agent Populations using Mean-Field Schrodinger Bridges with Gaussian Mixture Models—0
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization—0
Stochastic Approximation Algorithms for Principal Component Analysis—0
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem—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