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 351–400 of 1387 papers

TitleStatusHype
A Computational Efficient Pumped Storage Hydro Optimization in the Look-ahead Unit Commitment and Real-time Market Dispatch Under Uncertainty—0
Optimal Semantic-aware Sampling and Transmission in Energy Harvesting Systems Through the AoII—0
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time WindowsCode1
Numerical Methods for Convex Multistage Stochastic Optimization—0
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
n-Step Temporal Difference Learning with Optimal nCode0
Multistage Stochastic Optimization via Kernels—0
Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short- and Long-Term Needs of Wind Energy Operation—0
Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities—0
An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition—0
A Deep Learning Perspective on Network Routing—0
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications—0
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed ModelsCode0
Variational Linearized Laplace Approximation for Bayesian Deep LearningCode1
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap—0
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees—0
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance—0
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks—0
Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation—0
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise—0
Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness—0
Improved Langevin Monte Carlo for stochastic optimization via landscape modification—0
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework—0
Target-based Surrogates for Stochastic OptimizationCode0
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance—0
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning—0
Distributed Stochastic Optimization under a General Variance Condition—0
Online Kernel Sliced Inverse Regression—0
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret—0
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—0
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning—0
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization—0
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks—0
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles—0
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers—0
Support Vector Regression: Risk Quadrangle Framework—0
Federated Learning with Flexible Control—0
Huber-energy measure quantization—0
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement LearningCode1
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture ModelCode0
Stochastic Optimization for Spectral Risk MeasuresCode0
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems—0
On the Overlooked Structure of Stochastic Gradients—0
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax OptimizationCode0
Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework—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