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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1150 of 1387 papers

TitleStatusHype
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks—0
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games—0
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation—0
Robust Stochastic Optimization via Gradient Quantile Clipping—0
From low probability to high confidence in stochastic convex optimization—0
Robust Utility Maximization in Discrete-Time Markets with Friction—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
ROM-Based Stochastic Optimization for a Continuous Manufacturing Process—0
ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm—0
Route Recommendations for Traffic Management Under Learned Partial Driver Compliance—0
RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel—0
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate—0
Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions—0
Sample Average Approximation for Black-Box VI—0
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization—0
Sampling from a k-DPP without looking at all items—0
Sampling from a k-DPP without looking at all items—0
Scalable Approximations for Generalized Linear Problems—0
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling—0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization—0
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)—0
Scalable Metric Learning via Weighted Approximate Rank Component Analysis—0
Scalable Projection-Free Optimization—0
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression—0
Scaling-up Distributed Processing of Data Streams for Machine Learning—0
Scenario Based Cost Optimization of Water Distribution Networks Powered by Grid-Connected Photovoltaic Systems—0
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning—0
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning—0
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations—0
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling—0
Self-Modulating Nonparametric Event-Tensor Factorization—0
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
Semi-Bandit Learning for Monotone Stochastic Optimization—0
Sensitivity Analyses of Resilience-oriented Risk-averse Active Distribution Systems Planning—0
Sensor Attacks and Resilient Defense on HVAC Systems for Energy Market Signal Tracking—0
Sequential Stochastic Optimization in Separable Learning Environments—0
SGDEM: stochastic gradient descent with energy and momentum—0
SGD Implicitly Regularizes Generalization Error—0
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance—0
SGD with Clipping is Secretly Estimating the Median Gradient—0
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity—0
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points—0
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees—0
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization—0
Decision-Dependent Stochastic Optimization: The Role of Distribution DynamicsCode0
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphsCode0
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed CommunicationCode0
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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