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 851–900 of 1387 papers

TitleStatusHype
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying NetworksCode0
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach—0
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging—0
DS-FACTO: Doubly Separable Factorization Machines—0
Doubly-stochastic mining for heterogeneous retrieval—0
Disjoint principal component analysis by constrained binary particle swarm optimizationCode0
Stochastic gradient algorithms from ODE splitting perspective—0
Stochastic batch size for adaptive regularization in deep network optimization—0
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective—0
Generating Tertiary Protein Structures via an Interpretative Variational AutoencoderCode0
Convergence rates and approximation results for SGD and its continuous-time counterpart—0
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning—0
Direct loss minimization algorithms for sparse Gaussian processesCode0
Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics—0
Stochastic Flows and Geometric Optimization on the Orthogonal Group—0
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models—0
Pipelined Backpropagation at Scale: Training Large Models without Batches—0
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates—0
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks—0
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP—0
On Hyper-parameter Tuning for Stochastic Optimization Algorithms—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
Non-asymptotic bounds for stochastic optimization with biased noisy gradient oracles—0
IRS-aided Large-Scale MIMO Systems with Passive Constant Envelope Precoding—0
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar—0
Stochastic Optimization for Regularized Wasserstein Estimators—0
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes—0
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and PerformanceCode0
Stochastic Online Optimization using Kalman Recursion—0
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima—0
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study—0
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications—0
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and ControlCode0
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methodsCode0
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities—0
Dual Stochastic Natural Gradient Descent and convergence of interior half-space gradient approximations—0
Adaptive Stochastic Optimization—0
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling—0
Self-Modulating Nonparametric Event-Tensor Factorization—0
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking—0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False—0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False—0
A Dynamic Sampling Adaptive-SGD Method for Machine Learning—0
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization—0
Stochastic gradient-free descents—0
CProp: Adaptive Learning Rate Scaling from Past Gradient ConformityCode0
Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning—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