Learning Memory Kernels in Generalized Langevin Equations

• Feb 17, 2026
• SIAM Journal on Mathematics of Data Science
• Quanjun Lang + 1 more +1

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Supermodular Rank: Set Function Decomposition and Optimization

• Oct 28, 2025
• SIAM Journal on Mathematics of Data Science
• Rishi Sonthalia + 2 more +2

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Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise

• Jul 15, 2025
• SIAM Journal on Mathematics of Data Science
• Ery Arias-Castro + 1 more +1

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Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling

• Jul 09, 2025
• SIAM Journal on Mathematics of Data Science
• Jason M Altschuler + 1 more +1

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Simple Alternating Minimization Provably Solves Complete Dictionary Learning

• Jul 01, 2025
• SIAM Journal on Mathematics of Data Science
• Geyu Liang + 3 more +3

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Insights into Kernel PCA with Application to Multivariate Extremes

• Jun 05, 2025
• SIAM Journal on Mathematics of Data Science
• Marco Avella Medina + 2 more +2

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Stochastic Gradient Descent for Streaming Linear and Rectified Linear Systems with Adversarial Corruptions

• Apr 28, 2025
• SIAM Journal on Mathematics of Data Science
• Halyun Jeong + 2 more +2

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Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation

• Jan 03, 2025
• SIAM Journal on Mathematics of Data Science
• Chaoyu Liu + 3 more +3

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KL Convergence Guarantees for Score Diffusion Models under Minimal Data Assumptions

• Jan 03, 2025
• SIAM Journal on Mathematics of Data Science
• Giovanni Conforti + 2 more +2

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Stochastic Variance-Reduced Majorization-Minimization Algorithms

• Oct 08, 2024
• SIAM Journal on Mathematics of Data Science
• Duy Nhat Phan + 3 more +3

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