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 701–750 of 1387 papers

TitleStatusHype
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems—0
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter—0
Private Zeroth-Order Nonsmooth Nonconvex Optimization—0
Proactive Optimization with Machine Learning: Femto-caching with Future Content Popularity—0
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model—0
Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy—0
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction—0
Problem-dependent convergence bounds for randomized linear gradient compression—0
Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times—0
Projected gradient methods for nonconvex and stochastic optimization: new complexities and auto-conditioned stepsizes—0
Projection-Free Algorithm for Stochastic Bi-level Optimization—0
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data—0
Projection-Free Online Convex Optimization with Stochastic Constraints—0
Provable convergence guarantees for black-box variational inference—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains—0
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces—0
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization—0
Public-data Assisted Private Stochastic Optimization: Power and Limitations—0
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization—0
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization—0
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free—0
Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering—0
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence—0
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization—0
Random gradient extrapolation for distributed and stochastic optimization—0
Randomized Block Coordinate Descent for Online and Stochastic Optimization—0
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis—0
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization—0
α^α-Rank: Practically Scaling α-Rank through Stochastic Optimisation—0
Realtime and Robust Hand Tracking from Depth—0
Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False—0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False—0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False—0
Reducing the Model Order of Deep Neural Networks Using Information Theory—0
Regret minimization in stochastic non-convex learning via a proximal-gradient approach—0
Regret Minimization with Noisy Observations—0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates—0
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD—0
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning—0
Representation of forward performance criteria with random endowment via FBSDE and application to forward optimized certainty equivalent—0
Re-route Package Pickup and Delivery Planning with Random Demands—0
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification—0
Research on OPF control of three-phase four-wire low-voltage distribution network considering uncertainty—0
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance—0
Adaptive pruning-based Newton's method for distributed learning—0
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications—0
Rethinking learning rate schedules for stochastic optimization—0
On the Overlooked Structure of Stochastic Gradients—0
A Retrospective Approximation Approach for Smooth Stochastic Optimization—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