Latest Research in Machine Learning

27 research papers · 2026 median publication year

Top Research Topics in Machine Learning

Highest-Cited Papers

  1. The Field Equations of Penalized non-Parametric Regression
  2. Instance-Optimal Adaptive Location Estimation via Multiscale Mid-Summaries
  3. Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise
  4. Second-Order Least Squares as a Special Case of the Polynomial Maximization Method
  5. Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs
  6. The Price of Distributional Robustness in Linear Quadratic Control
  7. Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds
  8. Nonparametric Regression with Measurement Error in Banach Spaces
  9. The Elliptically Optimal Confidence Interval: A Bivariate Extension of Wilson's Score Method
  10. Activity-Conditioned Residual Association from Aggregated Relational Data
  11. A note on a local entropy condition in the Wasserstein space
  12. On the universal calibration of heavy-tailed combination tests
  13. Computation and Applications of Euclidean and Normed Representations of Massive Data
  14. Blind Random Search with Noisy Loss Measurements: Averaging, Thresholding, and Almost Sure Convergence
  15. Sinkhorn algorithms for entropic vector quantile regression
  16. Large deviations for linear regressions
  17. Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle
  18. Forward-KL Learning Curves of Maximum Likelihood Estimators Need Not Be Monotone
  19. Signed random Fourier features for fast density estimation with indefinite kernels
  20. Projection-robust zeroth-order optimization on manifolds under heavy-tailed oracle noise
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L3 Region - - 2026 Sep Q3

Machine Learning

27 papers

Top Topics (10)

Statistics Theory8
Machine Learning3
Methodology3
Machine Learning2
Optimization and Control2
Systems and Control1
Data Structures and Algorithms1
Statistical Mechanics1
Machine Learning and Algorithms1
Computation1

Top Publications (20)

1.The Field Equations of Penalized non-Parametric Regression2.Instance-Optimal Adaptive Location Estimation via Multiscale Mid-Summaries3.Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise4.Second-Order Least Squares as a Special Case of the Polynomial Maximization Method5.Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs6.The Price of Distributional Robustness in Linear Quadratic Control7.Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds8.Nonparametric Regression with Measurement Error in Banach Spaces9.The Elliptically Optimal Confidence Interval: A Bivariate Extension of Wilson's Score Method10.Activity-Conditioned Residual Association from Aggregated Relational Data11.A note on a local entropy condition in the Wasserstein space12.On the universal calibration of heavy-tailed combination tests13.Computation and Applications of Euclidean and Normed Representations of Massive Data14.Blind Random Search with Noisy Loss Measurements: Averaging, Thresholding, and Almost Sure Convergence15.Sinkhorn algorithms for entropic vector quantile regression16.Large deviations for linear regressions17.Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle18.Forward-KL Learning Curves of Maximum Likelihood Estimators Need Not Be Monotone19.Signed random Fourier features for fast density estimation with indefinite kernels20.Projection-robust zeroth-order optimization on manifolds under heavy-tailed oracle noise
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