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 1051–1100 of 1387 papers

TitleStatusHype
Adaptive Methods for Nonconvex OptimizationCode0
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator—0
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima—0
Bandit Learning in Concave N-Person Games—0
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates—0
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence—0
Inexact SARAH Algorithm for Stochastic Optimization—0
Dissimilarity Coefficient based Weakly Supervised Object Detection—0
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization—0
A Sufficient Condition for Convergences of Adam and RMSProp—0
HyperAdam: A Learnable Task-Adaptive Adam for Network TrainingCode0
Physics-aware Deep Generative Models for Creating Synthetic Microstructures—0
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate—0
Scalable Robust Kidney ExchangeCode0
Fast determinantal point processes via distortion-free intermediate sampling—0
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size InputsCode0
Using Large Ensembles of Control Variates for Variational Inference—0
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic OptimizationCode0
Learning Models with Uniform Performance via Distributionally Robust Optimization—0
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning—0
Quasi-hyperbolic momentum and Adam for deep learningCode0
Towards Gradient Free and Projection Free Stochastic Optimization—0
Continuous-time Models for Stochastic Optimization AlgorithmsCode0
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational InferenceCode0
Convergence and Dynamical Behavior of the ADAM Algorithm for Non-Convex Stochastic Optimization—0
Bandit learning in concave N-person games—0
Optimal Adaptive and Accelerated Stochastic Gradient DescentCode0
Privacy-preserving Stochastic Gradual Learning—0
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems—0
Exploring Curvature Noise in Large-Batch Stochastic Optimization—0
Asynchronous decentralized accelerated stochastic gradient descent—0
Pricing American Options by Exercise Rate Optimization—0
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points—0
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning—0
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation—0
Graph Pattern Mining and Learning through User-defined Relations (Extended Version)Code0
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration—0
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes—0
Online Adaptive Methods, Universality and Acceleration—0
Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach—0
A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration—0
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization—0
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information—0
On-line Adaptative Curriculum Learning for GANsCode0
Stochastic Gradient Descent with Biased but Consistent Gradient EstimatorsCode0
Deep PDF: Probabilistic Surface Optimization and Density Estimation—0
Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization—0
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization—0
Online Label Aggregation: A Variational Bayesian Approach—0
Maximizing Invariant Data Perturbation with Stochastic OptimizationCode0
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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