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 101–150 of 1387 papers

TitleStatusHype
Distribution free M-estimation—0
PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning—0
Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees—0
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling—0
Contextual Learning for Stochastic Optimization—0
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold MethodCode0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
Formal Uncertainty Propagation for Stochastic Dynamical Systems with Additive Noise—0
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value ApproximationCode0
Streaming Krylov-Accelerated Stochastic Gradient Descent—0
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness—0
Primal-dual algorithm for contextual stochastic combinatorial optimization—0
Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration—0
Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems—0
Towards Weaker Variance Assumptions for Stochastic Optimization—0
Adversarial Subspace Generation for Outlier Detection in High-Dimensional DataCode0
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical VariablesCode0
Task load dependent decision referrals for joint binary classification in human-automation teams—0
Stochastic Optimization with Optimal Importance Sampling—0
Semiparametric Counterfactual RegressionCode0
Global-Order GFlowNets—0
Route Recommendations for Traffic Management Under Learned Partial Driver Compliance—0
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis—0
Steering Large Agent Populations using Mean-Field Schrodinger Bridges with Gaussian Mixture Models—0
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base—0
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity—0
Statistical Inference for Weighted Sample Average Approximation in Contextual Stochastic Optimization—0
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization—0
Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization—0
Decision-Dependent Stochastic Optimization: The Role of Distribution DynamicsCode0
Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy—0
Gradient-free stochastic optimization for additive models—0
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services—0
New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition—0
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton—0
Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage PlanningCode0
Fluid Antenna Enabled Over-the-Air Federated Learning: Joint Optimization of Positioning, Beamforming, and User Selection—0
Stochastic Optimization of Inventory at Large-scale Supply Chains—0
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching—0
New Bounds for Sparse Variational Gaussian Processes—0
Understanding the Generalization Error of Markov algorithms through Poissonization—0
Non-linear Quantum Monte Carlo—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration—0
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking—0
Overshoot: Taking advantage of future gradients in momentum-based stochastic optimizationCode0
Is Stochastic Gradient Descent Effective? A PDE Perspective on Machine Learning processes—0
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs—0
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problemsCode0
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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