Showing 201–220 of 1,000 results
/ Date/ Name
Apr 8, 2026FLUID: Flow-based Unified Inference for DynamicsApr 8, 2026The Theorems of Dr. David Blackwell and Their Contributions to Artificial IntelligenceApr 3, 2026High-dimensional Many-to-many-to-many Mediation AnalysisMar 30, 2026LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamicsMar 19, 2026Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep LearningMar 13, 2026Finite Difference Flow Optimization for RL Post-Training of Text-to-Image ModelsMar 5, 2026Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge RegressionFeb 26, 2026Regular Fourier Features for Nonstationary Gaussian ProcessesFeb 26, 2026Effective sample size approximations as entropy measuresFeb 23, 2026Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function ApproximationFeb 15, 2026Statistical Early Stopping for Reasoning ModelsFeb 9, 2026Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message PassingFeb 9, 2026CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial OptimizationFeb 7, 2026Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings FrameworkFeb 5, 2026Joint Embedding Variational BayesFeb 3, 2026Riemannian Neural Optimal TransportJan 30, 2026Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their ComplementarityJan 29, 2026Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold NetworksJan 23, 2026Parametric Mean-Field empirical Bayes in high-dimensional linear regressionJan 19, 2026Empirical Risk Minimization with $f$-Divergence Regularization