Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Statistics Theory — 12 papers
• Methodology — 10 papers
• Machine Learning — 7 papers
• Machine Learning — 4 papers
• Optimization and Control — 3 papers
• Numerical Analysis — 2 papers
• Image and Object Detection Techniques — 1 papers
• Probability — 1 papers
• Information Theory — 1 papers
• Emerging Technologies — 1 papers

Highest-Cited Papers

1. Optimal minimization of an unknown function in a nonparametric multivariate regression model thanks to a dimension reduction approach
2. Exploration of Random Objects Through Increasing Ball Statistics
3. Markov Properties of $k$-Record Processes via Order Statistics
4. Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
5. Toward an Asymptotic Efficiency Theory on Regular Parameter Manifolds
6. Algorithms for Threshold Group Testing
7. Exact Likelihood and Sampling for Riemannian Gaussian Distributions on Correlation Matrices
8. The Convergence Behavior of Adam under Heavy-Tailed Noise
9. CN101 - A Digital Thermodynamic Computer for Generative AI
10. Distance Profile Embedding for Independence and Conditional Independence Testing of Random Objects
11. Adversarially robust multiple testing in high dimensions
12. Efficient hybrid algorithm for nonnegative matrix factorization based on modified nonmonotone linear search
13. Bias-Corrected Multiplier Bootstrap Inference for Spectral Edges of Large Covariance Matrices
14. A New Measure of Dependence Between Continuous and Multinomial Random Variables
15. Property-driven Causal Abstractions for Markov Decision Processes
16. Finite Sample Smeariness on Spheres and Modulation-aware Tests
17. Sparsity Induced Identifiability in Matrix Tri-Factorisation
18. An analysis of binary isotonic regression: degrees of freedom and implications for calibration
19. A Riemannian View on Active Subspaces
20. Sequential Preconditioned Conjugate Gradient Method for Linear Statistical Models