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 251–300 of 1387 papers

TitleStatusHype
Building Proteins in a Day: Efficient 3D Molecular Reconstruction—0
Buying Information for Stochastic Optimization—0
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization—0
Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time—0
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks—0
A Single-Timescale Method for Stochastic Bilevel Optimization—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—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
Accelerated Gradient Methods for Stochastic Optimization and Online Learning—0
Copula variational inference—0
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing—0
Data Dependent Convergence for Distributed Stochastic Optimization—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
A quantitative Robbins-Siegmund theorem—0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—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
Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters—0
An adaptive stochastic optimization algorithm for resource allocation—0
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization—0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes—0
A preconditioned accelerated stochastic gradient descent algorithm—0
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy—0
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference—0
Convergence rates for the Adam optimizer—0
Convergence of SGD with momentum in the nonconvex case: A time window-based analysis—0
Approximating Pandora's Box with Correlations—0
Applying statistical learning theory to deep learning—0
A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC—0
Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning—0
Constrained Environment Optimization for Prioritized Multi-Agent Navigation—0
AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio—0
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration—0
Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization—0
Conservative Stochastic Optimization with Expectation Constraints—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
Accelerate RNN-based Training with Importance Sampling—0
CONGO: Compressive Online Gradient Optimization—0
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing—0
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching—0
Consistent Approximations in Composite Optimization—0
Constant Time EXPected Similarity Estimation using Stochastic Optimization—0
Compositional Training for End-to-End Deep AUC Maximization—0
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning—0
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions—0
Constraint-Handling Techniques for Particle Swarm Optimization Algorithms—0
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization—0
Ant Colony Algorithm for the Unsupervised Word Sense Disambiguation of Texts: Comparison and Evaluation—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