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 601–650 of 1387 papers

TitleStatusHype
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization—0
ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables—0
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization—0
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks—0
Cost-aware Feature Selection for IoT Device Classification—0
A Single-Timescale Method for Stochastic Bilevel Optimization—0
Latent Dirichlet Allocation in Generative Adversarial Networks—0
Last iterate convergence of SGD for Least-Squares in the Interpolation regime—0
Correlated Product of Experts for Sparse Gaussian Process Regression—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
Last-iterate convergence analysis of stochastic momentum methods for neural networks—0
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks—0
Large-Scale Approximate Kernel Canonical Correlation Analysis—0
Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction—0
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks—0
Copula variational inference—0
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization—0
ADMM-based Networked Stochastic Variational Inference—0
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks—0
Accelerated Gradient Methods for Stochastic Optimization and Online Learning—0
Convergence Rate Analysis of LION—0
Convergence and Dynamical Behavior of the ADAM Algorithm for Non-Convex Stochastic Optimization—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis—0
Stochastic Learning of Semiparametric Monotone Index Models with Large Sample Size—0
Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters—0
A quantitative Robbins-Siegmund theorem—0
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods—0
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization—0
Convergence of adaptive algorithms for weakly convex constrained optimization—0
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity—0
Convergence of adaptive algorithms for constrained weakly convex optimization—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—0
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
Joint Training of Generic CNN-CRF Models with Stochastic Optimization—0
Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short- and Long-Term Needs of Wind Energy Operation—0
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case—0
Online Label Aggregation: A Variational Bayesian Approach—0
Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach—0
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning—0
Convergence diagnostics for stochastic gradient descent with constant step size—0
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer—0
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima—0
Is Stochastic Gradient Descent Effective? A PDE Perspective on Machine Learning processes—0
IRS-aided Large-Scale MIMO Systems with Passive Constant Envelope Precoding—0
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences—0
Convergence Analysis of Riemannian Stochastic Approximation Schemes—0
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.—0
An adaptive stochastic optimization algorithm for resource allocation—0
An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise—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