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 201–250 of 1387 papers

TitleStatusHype
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks—0
Improving Tree Probability Estimation with Stochastic Optimization and Variance ReductionCode0
Notes on Sampled Gaussian Mechanism—0
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach—0
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles—0
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates—0
Faster Adaptive Decentralized Learning Algorithms—0
Gradient-Variation Online Learning under Generalized Smoothness—0
The Limitations of Model Retraining in the Face of Performativity—0
Stochastic Real-Time Economic Dispatch for Integrated Electric and Gas Systems Considering Uncertainty Propagation and Pipeline Leakage—0
Portfolio and reinsurance optimization under unknown market price of risk—0
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching—0
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length DistributionsCode0
Convergence rates for the Adam optimizer—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems—0
Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity OptimizationCode0
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning—0
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
UAV Formation and Resource Allocation Optimization for Communication-Assisted 3D InSAR Sensing—0
CONGO: Compressive Online Gradient Optimization—0
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations—0
Off-Grid Ultrasound Imaging by Stochastic OptimizationCode0
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management SystemsCode0
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization—0
Private Zeroth-Order Nonsmooth Nonconvex Optimization—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
From Text to Test: AI-Generated Control Software for Materials Science InstrumentsCode0
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution—0
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks—0
Fast Rates for Bandit PAC Multiclass Classification—0
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)—0
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach—0
Measuring training variability from stochastic optimization using robust nonparametric testing—0
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees—0
Robust Distribution Learning with Local and Global Adversarial Corruptions—0
A Generalized Version of Chung's Lemma and its Applications—0
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-TailedCode0
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical PerformanceCode0
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural NetworksCode0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
ODE-based Learning to OptimizeCode0
Learning-Rate-Free Stochastic Optimization over Riemannian ManifoldsCode0
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions—0
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization—0
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Show:102550
← PrevPage 5 of 28Next →
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