Latest Research in Machine Learning
31 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Optimization and Control — 14 papers
- Statistics Theory — 4 papers
- Machine Learning — 3 papers
- Machine Learning — 3 papers
- Mathematical Analysis and Transform Methods — 2 papers
- Probability — 1 papers
- Statistical Mechanics — 1 papers
- Information Theory — 1 papers
- Computation — 1 papers
- Matrix Theory and Algorithms — 1 papers
Highest-Cited Papers
- Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles
- Stochastic Gradient Descent over P2
- Random tilts to find stationary points in stochastic convex optimization
- Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower Bounds
- Last-Iterate Performance of Gradient Descent and Relaxed Proximal Point via $s$-Composability
- Algebraic optimization of sequential decision problems
- Operator Splitting Methods with Online Scaling
- Information Geometry for Wasserstein KL Divergence of Gaussian Measures on $\mathbb{R}^n$
- Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
- How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond
- Efficient Optimization on the Euclidean Sphere: Riemannian Gradient Alignment as a Unifying Principle
- Equivalence Between Continuous-Time Risk-Sensitive Control and Rényi Divergence Minimization
- Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler
- Improved Convergence Rates for Stochastic Multi-Gradient Descent which Close the Gap: A Proof by AI
- Optimal Confidence Intervals via Moderate Deviations Theory
- A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
- Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
- Gaussian-Restricted Barycenters for KL-Unbalanced Optimal Transport: Variational Theory and Fixed-Point Convergence
- Duality for a Martingale Transport Problem with Moment Constraints
- An exact and fast solution of the inverse Regularized Optimal Transport problem