Latest Research in Machine Learning

31 research papers · 2026 median publication year

Top Research Topics in Machine Learning

Highest-Cited Papers

  1. Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles
  2. Stochastic Gradient Descent over P2
  3. Random tilts to find stationary points in stochastic convex optimization
  4. Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower Bounds
  5. Last-Iterate Performance of Gradient Descent and Relaxed Proximal Point via $s$-Composability
  6. Algebraic optimization of sequential decision problems
  7. Operator Splitting Methods with Online Scaling
  8. Information Geometry for Wasserstein KL Divergence of Gaussian Measures on $\mathbb{R}^n$
  9. Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
  10. How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond
  11. Efficient Optimization on the Euclidean Sphere: Riemannian Gradient Alignment as a Unifying Principle
  12. Equivalence Between Continuous-Time Risk-Sensitive Control and Rényi Divergence Minimization
  13. Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler
  14. Improved Convergence Rates for Stochastic Multi-Gradient Descent which Close the Gap: A Proof by AI
  15. Optimal Confidence Intervals via Moderate Deviations Theory
  16. A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
  17. Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
  18. Gaussian-Restricted Barycenters for KL-Unbalanced Optimal Transport: Variational Theory and Fixed-Point Convergence
  19. Duality for a Martingale Transport Problem with Moment Constraints
  20. An exact and fast solution of the inverse Regularized Optimal Transport problem
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L3 Region - - 2026 Sep Q3

Machine Learning

31 papers

Top Topics (10)

Optimization and Control14
Statistics Theory4
Machine Learning3
Machine Learning3
Mathematical Analysis and Transform Methods2
Probability1
Statistical Mechanics1
Information Theory1
Computation1
Matrix Theory and Algorithms1

Top Publications (20)

1.Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles2.Stochastic Gradient Descent over P23.Random tilts to find stationary points in stochastic convex optimization4.Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower Bounds5.Last-Iterate Performance of Gradient Descent and Relaxed Proximal Point via $s$-Composability6.Algebraic optimization of sequential decision problems7.Operator Splitting Methods with Online Scaling8.Information Geometry for Wasserstein KL Divergence of Gaussian Measures on $\mathbb{R}^n$9.Adaptively Incorporating Directional Hints into Zeroth-Order Optimization10.How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond11.Efficient Optimization on the Euclidean Sphere: Riemannian Gradient Alignment as a Unifying Principle12.Equivalence Between Continuous-Time Risk-Sensitive Control and Rényi Divergence Minimization13.Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler14.Improved Convergence Rates for Stochastic Multi-Gradient Descent which Close the Gap: A Proof by AI15.Optimal Confidence Intervals via Moderate Deviations Theory16.A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis17.Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization18.Gaussian-Restricted Barycenters for KL-Unbalanced Optimal Transport: Variational Theory and Fixed-Point Convergence19.Duality for a Martingale Transport Problem with Moment Constraints20.An exact and fast solution of the inverse Regularized Optimal Transport problem
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