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 101–150 of 1387 papers

TitleStatusHype
Beyond Discretization: Learning the Optimal Solution PathCode0
From Gradient Clipping to Normalization for Heavy Tailed SGD—0
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning—0
Training-free Diffusion Model Alignment with Sampling DemonsCode1
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times—0
On the SAGA algorithm with decreasing step—0
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes—0
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning—0
Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networksCode0
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models—0
On Broad-Beam Reflection for Dual-Polarized RIS-Assisted MIMO Systems—0
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems—0
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees—0
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
Faster Adaptive Decentralized Learning Algorithms—0
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates—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
Randomized Physics-Informed Neural Networks for Bayesian Data AssimilationCode1
Off-Grid Ultrasound Imaging by Stochastic OptimizationCode0
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management SystemsCode0
Private Zeroth-Order Nonsmooth Nonconvex Optimization—0
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution—0
From Text to Test: AI-Generated Control Software for Materials Science InstrumentsCode0
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
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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