Latest Research in Machine Learning
27 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Statistics Theory — 8 papers
- Machine Learning — 3 papers
- Methodology — 3 papers
- Machine Learning — 2 papers
- Optimization and Control — 2 papers
- Systems and Control — 1 papers
- Data Structures and Algorithms — 1 papers
- Statistical Mechanics — 1 papers
- Machine Learning and Algorithms — 1 papers
- Computation — 1 papers
Highest-Cited Papers
- The Field Equations of Penalized non-Parametric Regression
- Instance-Optimal Adaptive Location Estimation via Multiscale Mid-Summaries
- Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise
- Second-Order Least Squares as a Special Case of the Polynomial Maximization Method
- Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs
- The Price of Distributional Robustness in Linear Quadratic Control
- Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds
- Nonparametric Regression with Measurement Error in Banach Spaces
- The Elliptically Optimal Confidence Interval: A Bivariate Extension of Wilson's Score Method
- Activity-Conditioned Residual Association from Aggregated Relational Data
- A note on a local entropy condition in the Wasserstein space
- On the universal calibration of heavy-tailed combination tests
- Computation and Applications of Euclidean and Normed Representations of Massive Data
- Blind Random Search with Noisy Loss Measurements: Averaging, Thresholding, and Almost Sure Convergence
- Sinkhorn algorithms for entropic vector quantile regression
- Large deviations for linear regressions
- Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle
- Forward-KL Learning Curves of Maximum Likelihood Estimators Need Not Be Monotone
- Signed random Fourier features for fast density estimation with indefinite kernels
- Projection-robust zeroth-order optimization on manifolds under heavy-tailed oracle noise