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1,205 records
- Topological Residual Asymmetry for Bivariate Causal Direction
- Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
- A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences
- A categorical account of the Metropolis-Hastings algorithm
- Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
- On the calibration of survival models with competing risks
- Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
- Effective Sample Size for Functional Spatial Data
- Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
- High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models
- Convergence of Muon with Newton-Schulz
- Direct Doubly Robust Estimation of Conditional Quantile Contrasts
- On randomized step sizes in Metropolis-Hastings algorithms
- Zeroth-order parallel sampling
- Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
- Deep Neural Networks as Iterated Function Systems and a Generalization Bound
- The Blown Lead Paradox: A Pathwise Calibration Benchmark for Win Probability Forecasts
- Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
- Asymptotic Distribution of Robust Effect Size Index
- Error Analysis of Bayesian Inverse Problems with Generative Priors
- Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
- Efficient Learning of Stationary Diffusions with Stein-type Discrepancies
- Optimal Design under Interference, Homophily, and Robustness Trade-offs
- Algebraic Statistics in OSCAR
- Estimating conditional Mann-Whitney effects using pseudo-observation-based regression
- 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