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 1101–1150 of 1387 papers

TitleStatusHype
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator—0
Stochastic Proximal Algorithms for AUC Maximization—0
Stochastic PCA with _2 and _1 Regularization—0
Data-driven satisficing measure and ranking—0
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions—0
Direct Acceleration of SAGA using Sampled Negative Momentum—0
Finding Local Minima via Stochastic Nested Variance Reduction—0
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in AdamCode0
Swarming for Faster Convergence in Stochastic Optimization—0
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data—0
Variational Implicit ProcessesCode0
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning—0
AdaGrad stepsizes: Sharp convergence over nonconvex landscapesCode0
Modeling Realistic Degradations in Non-blind Deconvolution—0
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization—0
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction—0
A PID Controller Approach for Stochastic Optimization of Deep NetworksCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization—0
Zeroth-Order Stochastic Variance Reduction for Nonconvex OptimizationCode0
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation—0
Universal discriminative quantum neural networks—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
Dyna: A Method of Momentum for Stochastic Optimization—0
Robust Utility Maximization in Discrete-Time Markets with Friction—0
Optimal Virtualization Framework for Cellular Networks with Downlink Rate Coverage Probability Constraints—0
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization—0
Simultaneous shot inversion for nonuniform geometries using fast data interpolation—0
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision ProblemsCode0
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems—0
Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalentsCode0
Byzantine Stochastic Gradient Descent—0
Lower error bounds for the stochastic gradient descent optimization algorithm: Sharp convergence rates for slowly and fast decaying learning rates—0
On the insufficiency of existing momentum schemes for Stochastic OptimizationCode0
The Challenge of Crafting Intelligible Intelligence—0
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization—0
Sever: A Robust Meta-Algorithm for Stochastic OptimizationCode0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
ADMM-based Networked Stochastic Variational Inference—0
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization—0
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisCode0
Distributed Stochastic Optimization via Adaptive SGD—0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization—0
Stochastic Variance-Reduced Hamilton Monte Carlo Methods—0
Online Variance Reduction for Stochastic OptimizationCode0
Superposition-Assisted Stochastic Optimization for Hawkes Processes—0
Robust and Sparse Regression in GLM by Stochastic Optimization—0
DeepType: Multilingual Entity Linking by Neural Type System EvolutionCode0
When Does Stochastic Gradient Algorithm Work Well?—0
Asynchronous Stochastic Variational Inference—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