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 201–250 of 1387 papers

TitleStatusHype
A General Reduction for High-Probability Analysis with General Light-Tailed Distributions—0
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix—0
Coupled generator decomposition for fusion of electro- and magnetoencephalography dataCode0
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms—0
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions—0
Higher order measures of risk and stochastic dominance—0
Enhancing Rolling Horizon Production Planning Through Stochastic Optimization Evaluated by Means of Simulation—0
SGD with Clipping is Secretly Estimating the Median Gradient—0
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning—0
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method—0
Tuning-Free Stochastic Optimization—0
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationCode0
PASOA- PArticle baSed Bayesian Optimal Adaptive designCode0
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity—0
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions—0
How Free is Parameter-Free Stochastic Optimization?—0
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint—0
Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence—0
Diffusion Stochastic Optimization for Min-Max ProblemsCode0
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space—0
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach—0
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks—0
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization—0
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications—0
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms—0
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations—0
Stochastic optimization with arbitrary recurrent data samplingCode0
Study Features via Exploring Distribution Structure—0
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem—0
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions—0
Representation of forward performance criteria with random endowment via FBSDE and application to forward optimized certainty equivalent—0
Solving Decision-Dependent Games by Learning from Feedback—0
Semi-Bandit Learning for Monotone Stochastic Optimization—0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Contextual Reinforcement Learning for Offshore Wind Farm Bidding—0
Solving Dense Linear Systems Faster Than via Preconditioning—0
Onflow: an online portfolio allocation algorithm—0
Stochastic-Constrained Stochastic Optimization with Markovian Data—0
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationCode0
Learning From Scenarios for Stochastic Repairable SchedulingCode0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization—0
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization—0
Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach—0
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent—0
Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning—0
Applying statistical learning theory to deep learning—0
Locally Optimal Descent for Dynamic Stepsize Scheduling—0
Adaptive Shells for Efficient Neural Radiance Field Rendering—0
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization ProblemsCode0
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization—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