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 151–200 of 1387 papers

TitleStatusHype
Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues—0
Boost K-Means—0
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression—0
Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling—0
Accelerated Mini-batch Randomized Block Coordinate Descent Method—0
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization—0
Asymptotic regularity of a generalised stochastic Halpern scheme with applications—0
A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating—0
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization—0
A Full Adagrad algorithm with O(Nd) operations—0
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Accelerating First-Order Optimization Algorithms—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning—0
A Dynamic Sampling Adaptive-SGD Method for Machine Learning—0
Adam^+: A Stochastic Method with Adaptive Variance Reduction—0
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting—0
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization—0
Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar—0
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency—0
Accelerating first order optimization algorithms—0
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
A Sub-sampled Tensor Method for Non-convex Optimization—0
A Sufficient Condition for Convergences of Adam and RMSProp—0
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC—0
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms—0
A Filtering Approach to Stochastic Variational Inference—0
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning—0
Asymptotic Optimality in Stochastic Optimization—0
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty—0
Asynchronous decentralized accelerated stochastic gradient descent—0
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays—0
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction—0
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification—0
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care—0
Asynchronous Stochastic Optimization Robust to Arbitrary Delays—0
Asynchronous Stochastic Variational Inference—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning—0
Augmentation Invariant Manifold Learning—0
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement—0
A Unified Analysis on the Subgradient Upper Bounds for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions—0
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints—0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm—0
A Unified Convergence Theorem for Stochastic Optimization Methods—0
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates—0
Advances in Asynchronous Parallel and Distributed 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