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 201–250 of 1387 papers

TitleStatusHype
A Variational Inequality Approach to Bayesian Regression Games—0
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty—0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization—0
Multi-Objective Planning of Community Energy Storage Systems Under Uncertainty—0
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization—0
A Walk with SGD: How SGD Explores Regions of Deep Network Loss?—0
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement—0
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization—0
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems—0
Bandit Algorithms for Prophet Inequality and Pandora's Box—0
Bandit learning in concave N-person games—0
Bandit Learning in Concave N-Person Games—0
Accelerating Stochastic Probabilistic Inference—0
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization—0
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm—0
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
Advances in Asynchronous Parallel and Distributed Optimization—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization—0
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting—0
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio—0
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares—0
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms—0
Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues—0
Beyond variance reduction: Understanding the true impact of baselines on policy optimization—0
Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging—0
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization—0
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima—0
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration—0
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning—0
ALS: Augmented Lagrangian Sketching Methods for Linear Systems—0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets—0
A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling—0
Adaptive Sampling Strategies for Stochastic Optimization—0
Consistent Approximations in Composite Optimization—0
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization—0
Block stochastic gradient iteration for convex and nonconvex optimization—0
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions—0
Boost K-Means—0
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds—0
Branching model with state dependent offspring distribution for Chlamydia spread—0
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging—0
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization—0
Adaptive Shells for Efficient Neural Radiance Field Rendering—0
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel 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