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 301–350 of 1387 papers

TitleStatusHype
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates—0
Min-Max Optimization under Delays—0
Minimizing robust density power-based divergences for general parametric density modelsCode0
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning—0
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization—0
Importance Sampling for Minimization of Tail Risks: A Tutorial—0
Scenario Based Cost Optimization of Water Distribution Networks Powered by Grid-Connected Photovoltaic Systems—0
Monte Carlo Policy Gradient Method for Binary OptimizationCode1
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference—0
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional ModelsCode1
Neural Inventory Control in Networks via Hindsight Differentiable Policy OptimizationCode1
Adaptive Strategies in Non-convex Optimization—0
Provably Personalized and Robust Federated LearningCode0
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization ApproachCode0
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach—0
End-to-End Learning for Stochastic Optimization: A Bayesian PerspectiveCode0
Buying Information for Stochastic Optimization—0
Branching model with state dependent offspring distribution for Chlamydia spread—0
Provable convergence guarantees for black-box variational inference—0
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization—0
Parameter-free projected gradient descent—0
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic OptimizationCode0
Stochastic Model Predictive Control with Dynamic Chance Constraints—0
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities—0
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU NetworksCode0
Momentum Provably Improves Error Feedback!—0
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language ModelCode0
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-trainingCode2
Offline Primal-Dual Reinforcement Learning for Linear MDPs—0
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent—0
Constrained Environment Optimization for Prioritized Multi-Agent Navigation—0
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces—0
Provable Multi-instance Deep AUC Maximization with Stochastic PoolingCode0
Towards Understanding the Generalization of Graph Neural Networks—0
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression—0
MoMo: Momentum Models for Adaptive Learning RatesCode1
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization—0
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization—0
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Projection-Free Online Convex Optimization with Stochastic Constraints—0
Stochastic MPC for energy hubs using data driven demand forecasting—0
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems—0
Debiasing Conditional Stochastic Optimization—0
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of OneCode1
MAC, a novel stochastic optimization method—0
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance PerspectiveCode0
Sample Average Approximation for Black-Box VI—0
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black BoxCode0
μ^2-SGD: Stable Stochastic Optimization via a Double Momentum Mechanism—0
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy—0
Show:102550
← PrevPage 7 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