Latest Research in Machine Learning
74 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Optimization and Control — 17 papers
- Statistics Theory — 7 papers
- Machine Learning — 5 papers
- Numerical Analysis — 5 papers
- Complex Network Analysis Techniques — 4 papers
- Probability — 4 papers
- Physics and Society — 4 papers
- Machine Learning — 3 papers
- Nonlinear Dynamics and Pattern Formation — 2 papers
- Statistical Mechanics — 2 papers
Highest-Cited Papers
- Spectral Analysis of Epidemic Dynamics via the Kirchhoff Index
- A Linearly Convergent Projection-Free Algorithm for Smooth Convex Sets
- Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework
- Sliding Methods for Hölder-Smooth Convex--Concave Minimax Optimization with Bilinear Coupling
- THRESHOLDS AND FLUCTUATIONS OF SUBMULTIPLEXES IN RANDOM MULTIPLEX NETWORKS
- From $L$-domination maximal inequalities to infinite-dimensional martingales, towards high-dimensional statistics
- Revisiting Decomposition-Invariant Conditional Gradient Methods for Polytopes
- Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics
- The Magnus Matrix Tree IV: Basis-Compressed Kinetic Operators, Projected Rank-Two Transfers, and Online Selector Admission
- A Framework for Stochastic Differentiable Programming
- Sharp Root Anti-Concentration via Projective Incidence and Ordered Root Laws
- Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation
- Effective graph resistance as cumulative heat dissipation
- Exact detection threshold of the packing test
- Sharp analysis of sketched least squares and randomized low-rank approximation
- Density-Robust Spherical Coordinates from Persistent Cohomology
- Minimaxity and Efficiency in Exponential Family Regression: From Star-Shaped to Convex Constraints
- The Binomial Channel: On Capacity, Optimal Inputs, and Beta-Binomial Approximation
- Windowed thinning and query complexity for the bouncy particle and Zigzag samplers
- The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion