Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Optimization and Control — 13 papers
• Machine Learning — 3 papers
• Numerical Analysis — 2 papers
• Neural Networks and Applications — 2 papers
• Sparse and Compressive Sensing Techniques — 1 papers
• Signal Processing — 1 papers
• Information Theory — 1 papers
• Advanced Optimization Algorithms Research — 1 papers
• Blind Source Separation Techniques — 1 papers
• Probability — 1 papers

Highest-Cited Papers

1. A Three‐Term Modified PRP Conjugate Gradient Method for Unconstrained Optimization: Application to Image Restoration
2. Strong Duality in Risk-Constrained Nonconvex Functional Programming
3. PDNQP: A GPU-based Factorization-free Method for Large-scale Nonconvex Quadratic Programming
4. Joint Structure Identification and Newton Acceleration via Proximal Line Search for Nonconvex Optimization
5. Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces
6. Inverse Problems for Costs and Controls in LQG MFGs via Mean Field Trajectories
7. Preconditioned Hyperbolic Smoothing Modified L-BFGS Algorithms for Finite Minimax Problems
8. Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies
9. Nonsmooth Newton methods with effective subspaces for polyhedral regularization
10. Convergence, design and training of continuous-time dropout as a random batch method
11. On Dependence Measures Based on $Φ$-Divergence, $Φ$-Entropy, and Their Matrix Forms
12. Weakly chained matrices, policy iteration, and impulse control
13. On the Effectiveness of the z-Transform Method in Quadratic Optimization
14. Powell-Style Model-Based Derivative-Free Optimization with Complexity Guarantees
15. Nonsmooth local optimization via direct search
16. Learning algorithms for mean field optimal control
17. Fast Flexible LSQR with a Hybrid Variant for Efficient Large-Scale Regularization
18. Markov chains, AR models, and regular variation
19. Trajectory-Wise Certification for Vector-Field Mirror Descent with Deterministic Finite Differences
20. Partially Observed Mean Field Games Without Perfect Recall: Optimality Conditions and Equilibria