Key papers

• On the Fragility of Majority Illusions (2026)
  Maaike Venema-Los et al.
  5.49
• Singular value soft-thresholding via the polar decomposition (2026)
  Stephen Becker
  5.49
• On the Role of Normalization in Binary Iterative Hard Thresholding for 1-bit Compressed Sensing (2026)
  Arya Mazumdar et al.
  5.01
• Simulation-Based Empirical Bayes (2026)
  Xinwei Shen et al.
  5.01
• Interventional Score Geometry for Causal Inference (2026)
  Mojtaba Eslami
  5.01
• Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model (2026)
  Ruijian Han et al.
  5.01
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  5.01
• The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands (2026)
  Yi Li et al.
  5.01
• Price of Fairness in Bandits: A Tight Minimax Characterization (2026)
  Dhruv Sarkar et al.
  4.39
• Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration (2026)
  Dhruv Sarkar et al.
  4.39
• Parallel gradient boosting for flexible estimation of conditional distributions (2026)
  R\'emy Chapelle (CESP et al.
  4.39
• CAS I: A Geometric Coding Theorem (2026)
  Romie Banerjee
  4.39
• Verifying formulas for interventional distributions (2026)
  Francesco Freni et al.
  4.39
• Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression (2026)
  Soham Jana
  4.39
• Lipschitzian SLLNs for random functions (2026)
  Lai Tian et al.
  4.39
• Jointly estimating transmissibility and prior immunity from epidemic time series (2026)
  David J. D. Earn et al.
  4.39
• Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (2026)
  Sergio A. Alvarez
  4.39
• Multiplicity of Stable Attractors in Disordered Neural Models (2026)
  Raffaele Marino et al.
  4.39
• Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection (2026)
  Meghna Kalra et al.
  3.51
• Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations (2026)
  Philip Boeken et al.
  2.00
• Wasserstein gradient flows for Coulomb discrepancies (2026)
  Antonin Chodron de Courcel et al.
  2.00
• When Kernel Ridge Regression Meets the H\"older-Zygmund Class: Minimax Optimality and Failure of Properness (2026)
  Yuxuan Hou
  2.00
• Randomizing the Number of Centers in k-means++ (2026)
  Vaclav Rozhon
  2.00
• Retrospective Orthogonal Design: Response-Surface Reconstruction from Observational Data (2026)
  Lawrence Fulton et al.
  2.00
• Denoising growth complexity: Data geometry and certified schedules for diffusion sampling (2026)
  Martin J. Wainwright
  2.00
• High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption (2026)
  Loong Kuan Lee et al.
  2.00
• Origins and mitigation of double descent in reduced order modeling (2026)
  Andrei A. Klishin et al.
  2.00
• Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality (2026)
  Xiaoyin Pan et al.
  2.00
• Simultaneous Coverage and Efficiency Guarantee in Online Conformal Prediction (2026)
  Rahul Vaze
  2.00
• Compactly supported radial basis functions as probability density functions (2026)
  Sergio D\'iaz-Elbal (University of Almer\'ia) et al.
  2.00
• Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions (2026)
  Shuo-Chieh Huang et al.
  2.00
• Feature Bagging Provides Stability (2026)
  Yuheng Ma et al.
  2.00
• Field Codes for Distributed Coupling Samplers and Certified Empirical Transport (2026)
  Hung Mai et al.
  2.00
• Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes (2026)
  Lennon J. Shikhman et al.
  2.00
• Target localization, identification and sensing using latent symmetries (2026)
  David Dukov et al.
  1.94
• The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport (2026)
  Peter Halmos et al.
  1.94
• Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product (2026)
  Mufan Li et al.
  1.94
• Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance (2026)
  Hangyi Zhao
  1.78
• Heavy-Tailed Principal Component Analysis (2026)
  Mario Sayde et al.
  1.78
• Minimum Norm Interpolation via the Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity (2026)
  Gil Kur et al.
  1.78
• Structurally Separated Uncertainty in Supervised Latent Variable Models (2026)
  Tanmoy Mukherjee et al.
  1.72
• Physics-Informed Singular-Value Learning for Cross-Covariances Forecasting in Financial Markets (2026)
  Efstratios Manolakis et al.
  1.67
• Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization (2025)
  Romane Giard (ECL et al.
  1.44
• Reproducing the first and second moments of empirical degree distributions (2025)
  Mattia Marzi et al.
  1.22
• Differentially Private Permutation Tests (2023)
  Ilmun Kim et al.
  —
• A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning (2023)
  Thomas Bonald (IP Paris) et al.
  —
• Pushing the Frontier on Approximate EFX Allocations (2024)
  Georgios Amanatidis et al.
  —
• Learning Controlled Stochastic Differential Equations (2024)
  Luc Brogat-Motte et al.
  —
• Ask for More Than Bayes Optimal: A Theory of Indecisions for Selective Hypothesis Testing (2024)
  Mohamed Ndaoud et al.
  —