The following pages link to arXiv classification (P22):
Displaying 50 items.
- Estimating the number of communities by spectral methods (Q90067) (← links)
- Adjusted chi-square test for degree-corrected block models (Q90068) (← links)
- Local Gaussian Process Model for Large-scale Dynamic Computer Experiments (Q90137) (← links)
- On two-sided p-values for non-symmetric distributions (Q90774) (← links)
- Robust analogs to the Coefficient of Variation (Q90799) (← links)
- Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings (Q90816) (← links)
- SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment (Q90820) (← links)
- Attenuating Bias in Word Vectors (Q90823) (← links)
- Empirical Likelihood for the Analysis of Experimental Designs (Q90986) (← links)
- Geomstats: A Python Package for Riemannian Geometry in Machine Learning (Q91028) (← links)
- Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach (Q91059) (← links)
- Robust Approximate Bayesian Inference with Synthetic Likelihood (Q91061) (← links)
- Kalman filter with impulse noised outliers : A robust sequential algorithm to filter data with a large number of outliers (Q91098) (← links)
- Poisson Network Autoregression (Q91245) (← links)
- Testing Linearity for Network Autoregressive Models (Q91246) (← links)
- Regularized Zero-Variance Control Variates (Q91286) (← links)
- Semi-Exact Control Functionals From Sard's Method (Q91290) (← links)
- Multi-species count transformation models (Q91302) (← links)
- Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data (Q91408) (← links)
- Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models (Q91507) (← links)
- Feature Hashing for Large Scale Multitask Learning (Q91568) (← links)
- Single-Pass PCA of Large High-Dimensional Data (Q91640) (← links)
- Robust beta regression through the logit transformation (Q91767) (← links)
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- What Counterfactuals Can Be Tested (Q91952) (← links)
- Musings about Constructions of Efficient Latin Hypercube Designs with Flexible Run-sizes (Q91989) (← links)
- An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling (Q92043) (← links)
- Toward improved inference for Krippendorff's Alpha agreement coefficient (Q92110) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q92243) (← links)
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
- Permutation and Grouping Methods for Sharpening Gaussian Process Approximations (Q92248) (← links)
- Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection (Q92569) (← links)
- Quantifying the overall effect of biotic interactions on species distributions along environmental gradients (Q92706) (← links)
- Solving High-Order Portfolios via Successive Convex Approximation Algorithms (Q92792) (← links)
- Efficient and Scalable High-Order Portfolios Design via Parametric Skew-t Distribution (Q92794) (← links)
- Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors (Q92868) (← links)
- Particle learning of Gaussian process models for sequential design and optimization (Q92962) (← links)
- A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the Study of Osteoporotic Fractures (Q93011) (← links)
- Controlling false discovery exceedance for heterogeneous tests (Q93048) (← links)
- On the Pythagorean Structure of the Optimal Transport for Separable Cost Functions (Q93069) (← links)
- Practical Bayesian Optimization of Machine Learning Algorithms (Q93129) (← links)
- Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments (Q93156) (← links)
- Generalized Kernel Regularized Least Squares (Q93395) (← links)
- fastai: A Layered API for Deep Learning (Q93435) (← links)
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions (Q93618) (← links)
- Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects (Q93654) (← links)
- TEAM: A Multiple Testing Algorithm on the Aggregation Tree for Flow Cytometry Analysis (Q93720) (← links)
- Distance Assisted Recursive Testing (Q93722) (← links)
- A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data (Q93727) (← links)
- Futility Analysis in the Cross-Validation of Machine Learning Models (Q93841) (← links)
