1,205 records
- Laplacian U-Processes for Multiple Change-Point Detection in Dependent Text Networks: An Application to Historical Chinese Articles
- Optimal Scaling of Langevin Proposals with Generalized Acceptance Rules
- Conformal Policy Learning with Distribution-Free Safety Guarantees
- Sharp margin-based generalization bounds for realizable SVM
- Generalized DCCQ: From Binary Quotients to Multinomial Simplex Geometry and Critical-Strip Coordinates
- Steady-State Convergence of Stochastic Approximation
- Stability-Constrained Approximation in Spline KANs: Exact Layer Balancing and Budget-Compatible Saturation
- Bootstrap-Calibrated Spectral Divergence Tests for Online Detection of Covariance Matrix Changes
- Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms
- Spectral Design of Random-Duration Switchbacks
- Resolution-Independent Analysis of Encoder--Decoder Operator Learning via Limiting Kernels
- Restart Degeneration of the Swing Filter and a Simple Repair
- Asymptotic Theory for Restricted Maximum Likelihood Estimators in Generalized Linear Mixed Models
- Inference for Newton Methods with Accelerated Sketch-and-Project via Random Scaling
- Stochastic Gradient Descent over P2
- Wasserstein mixing of a systematic-scan random rotation sampler
- A Conditional-Distribution Framework for Validating Synthetic Multivariate Data
- Assumption-Lean Inference for Spectral Differential Network Analysis of High-Dimensional Time Series
- Optimal Covariate Adjustment beyond the Average Treatment Effect: Treated-Population and Overlap-Weighted Estimands
- Extended One-Liners for the Gamma, Poisson, and Binomial Distributions
- Identifiability of Nonnegative Tensor Decompositions via Positive Scattering
- Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms
- Learning Interaction Kernels from Collective Steady States
- Reference-State Bootstrap Correction and Kernel Characterization of Residual-Based Fit Indices in Structural Equation Models
- High-probability guarantees for linear accessibility in feature superposition
- A Unifying Perspective on Probabilities as Model Predictions
- Estimating Hierarchically Rank Structured Covariance Matrices
- Agnostic Model-Assisted Estimation with Machine Learning for Survey Data
- Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff
- CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs
- Tensor Network Moral Graph Recovery of Discrete Probability Distributions
- Recovery Theory for Projected Power Iterations in Permutation Synchronization
- Optimizer as Detector: Stochastic Gradient Descent for Latent Mixture Models
- Adaptive Conformal Inference Under Delayed Feedback: Coverage Guarantees and a Delay-to-Memory Diagnostic
- Quasi-randomization-based inference for multivariate Mann-Whitney effects under random missingness
- Beyond Worst-Case Coreset Bounds for $k$-Clustering via Determinantal Sampling
- A Likelihood-Ratio Test for Verifying Weak Stochastic Transitivity
- Cluster-Based Dimensionality Reduction by Nonparametric Distributional Screening
- Diagonal Attenuation: A Finite-Sample Correction for PCA
- Recovering linear images of sparse signals from indirect observations
- Robust conditional dimension reduction for dissimilarity data
- Minimax Lower Bound for Estimating Diffusion-based Local Intrinsic Dimension
- Goodness-of-fit testing for the Pareto type-I distribution based on a mean residual life characterization
- Bias-Corrected Subspace Intersection: Minimax-Optimal Shared Subspace Estimation in Multi-View Data
- Towards a Statistical Understanding of Mixture-of-Experts
- On tail-robust autocovariance matrix estimation for high-dimensional and potentially nonstationary time series
- Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling
- A computational approach to maximum likelihood thresholds for colored Gaussian graphical models
- Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
- Copula Transformations for Data-Consistent Inversion