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 1201–1250 of 1387 papers

TitleStatusHype
Augmentation Invariant Manifold Learning—0
A Unified Analysis on the Subgradient Upper Bounds for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions—0
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints—0
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization—0
A Unified Convergence Theorem for Stochastic Optimization Methods—0
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates—0
Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration—0
A Variational Inequality Approach to Bayesian Regression Games—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
Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent—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
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization—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
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
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
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization—0
Block stochastic gradient iteration for convex and nonconvex optimization—0
Boost K-Means—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
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise—0
Building Proteins in a Day: Efficient 3D Molecular Reconstruction—0
Buying Information for Stochastic Optimization—0
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error—0
Byzantine Stochastic Gradient Descent—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—0
Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities—0
CatCMA : Stochastic Optimization for Mixed-Category Problems—0
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables—0
Causality-Aided Falsification—0
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications—0
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Combining resampling and reweighting for faithful stochastic optimization—0
Comments on the proof of adaptive submodular function minimization—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