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 301–350 of 1387 papers

TitleStatusHype
How Free is Parameter-Free Stochastic Optimization?—0
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint—0
Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence—0
Diffusion Stochastic Optimization for Min-Max ProblemsCode0
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space—0
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach—0
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks—0
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization—0
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications—0
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations—0
Study Features via Exploring Distribution Structure—0
Stochastic optimization with arbitrary recurrent data samplingCode0
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms—0
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem—0
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions—0
Representation of forward performance criteria with random endowment via FBSDE and application to forward optimized certainty equivalent—0
Solving Decision-Dependent Games by Learning from Feedback—0
Semi-Bandit Learning for Monotone Stochastic Optimization—0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Contextual Reinforcement Learning for Offshore Wind Farm Bidding—0
Solving Dense Linear Systems Faster Than via Preconditioning—0
Onflow: an online portfolio allocation algorithm—0
Stochastic-Constrained Stochastic Optimization with Markovian Data—0
Learning From Scenarios for Stochastic Repairable SchedulingCode0
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationCode0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization—0
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization—0
Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach—0
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent—0
Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning—0
Applying statistical learning theory to deep learning—0
Locally Optimal Descent for Dynamic Stepsize Scheduling—0
Adaptive Shells for Efficient Neural Radiance Field Rendering—0
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization ProblemsCode0
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization—0
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL—0
Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions—0
Riemannian stochastic optimization methods avoid strict saddle points—0
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference—0
Dealing with Structure Constraints in Evolutionary Pareto Set Learning—0
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional SubspacesCode0
Sensor Attacks and Resilient Defense on HVAC Systems for Energy Market Signal Tracking—0
ROM-Based Stochastic Optimization for a Continuous Manufacturing Process—0
Nonlinear Filtering with Brenier Optimal Transport Maps—0
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes—0
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function—0
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Differentially Private Non-convex Learning for Multi-layer Neural Networks—0
Achieving Linear Speedup with ProxSkip in Distributed 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