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 551–600 of 1387 papers

TitleStatusHype
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning—0
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes—0
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding—0
Linear Speedup in Personalized Collaborative LearningCode0
Efficient Projection-Free Online Convex Optimization with Membership Oracle—0
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT)Code1
Does Momentum Help? A Sample Complexity Analysis—0
Fair Incentives for Repeated Engagement—0
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park—0
Predictive machine learning for prescriptive applications: a coupled training-validating approach—0
Variational Wasserstein Barycenters with c-Cyclical Monotonicity—0
Projection-Free Algorithm for Stochastic Bi-level Optimization—0
Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings—0
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—0
Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization—0
Robust Generalized Method of Moments: A Finite Sample Viewpoint—0
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
Global Convergence and Stability of Stochastic Gradient Descent—0
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization—0
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problemsCode0
SGDEM: stochastic gradient descent with energy and momentum—0
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data—0
How to Improve Sample Complexity of SGD over Highly Dependent Data?—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Learning to Schedule Learning rate with Graph Neural Networks—0
Compositional Training for End-to-End Deep AUC Maximization—0
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning—0
slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural NetworksCode1
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization—0
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods—0
Minimizing AoI in Resource-Constrained Multi-Source Relaying Systems with Stochastic Arrivals—0
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex OptimizationCode0
Urban Fire Station Location Planning using Predicted Demand and Service Quality Index—0
Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning—0
The Minimax Complexity of Distributed Optimization—0
Approximating Pandora's Box with Correlations—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Heavy-tailed Streaming Statistical Estimation—0
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix ManifoldsCode0
Sequential Stochastic Optimization in Separable Learning Environments—0
Stochastic Optimization under Distributional DriftCode0
Low-Complexity Algorithm for Restless Bandits with Imperfect Observations—0
Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions—0
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers—0
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC—0
Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case—0
Towards a Sustainable Power Grid: Stochastic Hierarchical Planning for High Renewable Integration—0
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data—0
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise—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