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 401–450 of 1387 papers

TitleStatusHype
Bandit learning in concave N-person games—0
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks—0
Bandit Algorithms for Prophet Inequality and Pandora's Box—0
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems—0
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System—0
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework—0
Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent—0
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization—0
Adaptive Learning Rates for Faster Stochastic Gradient Methods—0
Accelerating Stochastic Probabilistic Inference—0
Accelerated Parameter-Free Stochastic Optimization—0
Divergence Results and Convergence of a Variance Reduced Version of ADAM—0
Distribution free M-estimation—0
A Walk with SGD: How SGD Explores Regions of Deep Network Loss?—0
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing—0
Does Momentum Help? A Sample Complexity Analysis—0
Distribution-Dependent Analysis of Gibbs-ERM Principle—0
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning—0
A Deep Learning Perspective on Network Routing—0
Doubly stochastic large scale kernel learning with the empirical kernel map—0
Doubly-stochastic mining for heterogeneous retrieval—0
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization—0
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization—0
DS-FACTO: Doubly Separable Factorization Machines—0
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling—0
Dual Averaging is Surprisingly Effective for Deep Learning Optimization—0
Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes—0
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization—0
DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION—0
Dyna: A Method of Momentum for Stochastic Optimization—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—0
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes—0
Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement—0
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park—0
Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Dynamic Stochastic Approximation for Multi-stage Stochastic Optimization—0
Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks—0
Distributed stochastic optimization with large delays—0
Distributed stochastic optimization with gradient tracking over strongly-connected networks—0
Effective Blind Source Separation Based on the Adam Algorithm—0
A Variational Inequality Approach to Bayesian Regression Games—0
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution—0
Efficiency Ordering of Stochastic Gradient Descent—0
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization—0
Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling—0
Efficient Distributed SGD with Variance Reduction—0
Distributed Stochastic Optimization via Adaptive SGD—0
Distributed stochastic optimization via matrix exponential learning—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