Latest Research in Stochastic Optimization Dynamics

Top Research Topics in Stochastic Optimization Dynamics

• Machine Learning — 53 papers
• Methodology — 25 papers
• Machine Learning — 24 papers
• Statistics Theory — 11 papers
• Stochastic Gradient Optimization Techniques — 7 papers
• Face and Expression Recognition — 6 papers
• Optimization and Control — 4 papers
• Statistical Methods and Bayesian Inference — 4 papers
• Statistical Methods and Inference — 4 papers
• Advanced Causal Inference Techniques — 3 papers

Highest-Cited Papers

1. A More Precise Elbow Method For Optimum K-means Clustering (7 citations)
2. Residual distribution predictive systems (1 citations)
3. Zulfia Laws of Statistical Estimation: Φ-Force Over Information Curvature
4. Zulfia Laws of Statistical Estimation: Φ-Force Over Information Curvature
5. Regularisation of regression trees by summation of p values
6. A generalized robust twin extreme learning machine for robust classification under noisy data
7. Deep Permutation Networks: Layerwise Invariant Manifolds, Closed-Form Attractor Splicing, and Zero-Backpropagation Topological Learning
8. Doubly robust estimation of monotonic survival curves for time-varying treatments in observational studies
9. EEDML-HTE: A Fuzzy Bayesian Exposure Modeling Framework for Heterogeneous Causal Effect Estimation
10. Comparing two models for counting missing persons: Implications for missing and/or murdered Indigenous persons research
11. Observer-Conditioned Semantic Transport
12. Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs
13. Robust Multi-Task Learning for Principal Component Analysis
14. Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
15. Conformalized Lee Inference: Distribution-Free Prediction Sets for Individual Treatment Effect under Monotone Sample Selection
16. Unsupervised Feature Selection via Self-Supervised HSIC and Elastic Net Regularization
17. Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
18. Provable Guarantees and Efficient Learning of Structural Equation Models with Latent Confounders
19. Factor-Wise Parameter Learning in Score-Based VAMP
20. Geometry of learning dynamics: Gradient descent versus natural gradient on the ridge of optimization

Sub-Regions

• Ferroelectric and Negative Capacitance Devices — 72 papers
• Information Theory — 52 papers
• Advanced Causal Inference Techniques — 46 papers
• Machine Learning — 37 papers
• Methodology — 32 papers
• Stochastic Gradient Optimization Techniques — 16 papers