1,205 records
- On damage of interpolation to adversarial robustness in regression
- On the spherical cardioid distribution and its goodness-of-fit
- Distributional Computational Graphs: Error Bounds
- Geostatistics from Elliptic Boundary-Value Problems: Green Operators, Transmission Conditions, and Schur Complements
- Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
- Multi-context principal component analysis
- Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective
- Small Gradient Norm Regret for Online Convex Optimization
- Large Data Limits of Laplace Learning for Gaussian Measure Data in Infinite Dimensions
- Approximate full conformal prediction in an RKHS
- Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
- Distribution-Free Confidence Ellipsoids for Ridge Regression with PAC Bounds
- Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
- Resampling-free Inference for Time Series via RKHS Embedding
- On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
- Rerandomization for quantile treatment effects
- Contextual Distributionally Robust Optimization with Causal and Continuous Structure
- Robust $M$-Estimation of Scatter Matrices via Precision Structure Shrinkage
- Smooth SCAD: A Raised Cosine SCAD Type Thresholding Rule for Wavelet Denoising
- On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
- Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
- Coarsening Causal DAG Models
- Parametric RDT approach to computational gap of symmetric binary perceptron
- Adjusted Similarity Measures and a Violation of Expectations
- Forecasting Seasonal Peaks of Pediatric Respiratory Infections Using an Alert-Based Model Combining SIR Dynamics and Historical Trends in Santiago, Chile
- Accelerated Regularized Wasserstein Proximal Sampling Algorithms
- Model selection by cross-validation in an expectile linear regression
- Permutation Inference under Multi-way Clustering and Missing Data
- Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework
- Tail-Sensitive KL and Rényi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
- Optimal Transport under Group Fairness Constraints
- Multi-environment Invariance Learning with Missing Data
- Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
- Characterization of multi-way binary tables with uniform margins and fixed correlations
- Inference for Multiple Change-points in Piecewise Locally Stationary Time Series
- Extensions of the solidarity principle of the spectral gap for Gibbs samplers to their blocked and collapsed variants
- Constrained Density Estimation via Optimal Transport
- Robust Mean Estimation under Quantization
- Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
- Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
- A brief note on learning problem with global perspectives
- Detecting Stochasticity in Discrete Signals via Nonparametric Excursion Theorem
- Manifold limit for the training of shallow graph convolutional neural networks
- A Generalized Adaptive Joint Learning Framework for High-Dimensional Time-Varying Models
- Comparison of Maximum Likelihood Classification Before and After Applying Weierstrass Transform
- Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
- Progressive Bayesian Confidence Architectures for Cold-Start Personal Health Analytics: Formalizing Early Insight Through Posterior Contraction and Risk-Aware Interpretation
- A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
- Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights
- A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks