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 1301–1350 of 1387 papers

TitleStatusHype
Data driven Dirichlet sampling on manifolds—0
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning—0
Data-driven satisficing measure and ranking—0
Data Sampling Affects the Complexity of Online SGD over Dependent Data—0
Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems providing Frequency Regulation—0
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization—0
Debiasing Conditional Stochastic Optimization—0
Decentralized Multi-Task Stochastic Optimization With Compressed Communications—0
Decentralized Online Learning with Kernels—0
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity—0
An introduction to decentralized stochastic optimization with gradient tracking—0
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems—0
Decentralized Stochastic Optimization with Inherent Privacy Protection—0
Decision Transformers for Wireless Communications: A New Paradigm of Resource Management—0
Deep FPF: Gain function approximation in high-dimensional setting—0
Deep Generative Demand Learning for Newsvendor and Pricing—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Deep PDF: Probabilistic Surface Optimization and Density Estimation—0
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint—0
Derivatives of Stochastic Gradient Descent in parametric optimization—0
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study—0
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise—0
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap—0
Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communication—0
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes—0
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs—0
Differentially Private Non-convex Learning for Multi-layer Neural Networks—0
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings—0
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
Direct Acceleration of SAGA using Sampled Negative Momentum—0
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base—0
Disentangled Representation Learning and Generation with Manifold Optimization—0
Dissimilarity Coefficient based Weakly Supervised Object Detection—0
Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps—0
Distributed Delayed Stochastic Optimization—0
Distributed Evolution Strategies for Black-box Stochastic Optimization—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning—0
Distributed stochastic optimization for deep learning (thesis)—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
Distributed Stochastic Optimization of the Regularized Risk—0
Distributed Stochastic Optimization under a General Variance Condition—0
Distributed stochastic optimization via matrix exponential learning—0
Distributed Stochastic Optimization via Adaptive SGD—0
Distributed stochastic optimization with gradient tracking over strongly-connected networks—0
Distributed stochastic optimization with large delays—0
Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks—0
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park—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