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 901–950 of 1387 papers

TitleStatusHype
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records—0
Multi-Objective Optimization for Drone Delivery—0
Multi-period Optimal Control for Mobile Agents Considering State Unpredictability—0
Multiplicative noise and heavy tails in stochastic optimization—0
Multistage Stochastic Optimization via Kernels—0
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter—0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications—0
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems—0
Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness—0
Geometry, Computation, and Optimality in Stochastic Optimization—0
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization—0
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework—0
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks—0
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1—0
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data—0
Neural Network Compression Via Sparse Optimization—0
Neural Stochastic Dual Dynamic Programming—0
New Bounds for Sparse Variational Gaussian Processes—0
New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition—0
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications—0
Non-asymptotic bounds for stochastic optimization with biased noisy gradient oracles—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective—0
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction—0
Projection-free nonconvex stochastic optimization on Riemannian manifolds—0
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping—0
Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics—0
Non Deterministic Logic Programs—0
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise—0
Non-linear Quantum Monte Carlo—0
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation—0
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable—0
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes—0
Non-stationary Stochastic Optimization—0
Non-stationary Stochastic Optimization under L_p,q-Variation Measures—0
Notes on Sampled Gaussian Mechanism—0
Numerical Methods for Convex Multistage Stochastic Optimization—0
Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization—0
Offline Primal-Dual Reinforcement Learning for Linear MDPs—0
Offline Stochastic Optimization of Black-Box Objective Functions—0
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions—0
On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback—0
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks—0
Temporal Difference Learning with Continuous Time and State in the Stochastic Setting—0
On Broad-Beam Reflection for Dual-Polarized RIS-Assisted MIMO Systems—0
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions—0
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities—0
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities—0
Onflow: an online portfolio allocation algorithm—0
On Hyper-parameter Tuning for Stochastic Optimization Algorithms—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