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

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Showing 551–600 of 1387 papers

TitleStatusHype
Deep PDF: Probabilistic Surface Optimization and Density Estimation—0
Asymptotic Optimality in Stochastic Optimization—0
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning—0
A Full Adagrad algorithm with O(Nd) operations—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep Generative Demand Learning for Newsvendor and Pricing—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
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Deep FPF: Gain function approximation in high-dimensional setting—0
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC—0
Decision Transformers for Wireless Communications: A New Paradigm of Resource Management—0
A Sufficient Condition for Convergences of Adam and RMSProp—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
Decentralized Stochastic Optimization with Inherent Privacy Protection—0
A Sub-sampled Tensor Method for Non-convex Optimization—0
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems—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
Accelerating First-Order Optimization Algorithms—0
Accelerated Mini-batch Randomized Block Coordinate Descent Method—0
An introduction to decentralized stochastic optimization with gradient tracking—0
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity—0
Decentralized Online Learning with Kernels—0
Decentralized Multi-Task Stochastic Optimization With Compressed Communications—0
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization—0
Debiasing Conditional Stochastic Optimization—0
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization—0
Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems providing Frequency Regulation—0
Data Sampling Affects the Complexity of Online SGD over Dependent Data—0
Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar—0
Data-driven satisficing measure and ranking—0
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning—0
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty—0
Data driven Dirichlet sampling on manifolds—0
Data Dependent Convergence for Distributed Stochastic Optimization—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement—0
How Data Augmentation affects Optimization for Linear Regression—0
Data augmentation as stochastic optimization—0
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation—0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm—0
Advances in Asynchronous Parallel and Distributed Optimization—0
Accelerating first order optimization algorithms—0
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing—0
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning—0
A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling—0
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks—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