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Statistical Learning

4,117 papers

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100
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Papers

Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022
Tight bounds for minimum $\ell_1$-norm interpolation of noisy data AISTATS 2022
Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022
Generalized Group Testing AISTATS 2022
Adaptive A/B Test on Networks with Cluster Structures AISTATS 2022
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge AISTATS 2022
Two-way Sparse Network Inference for Count Data AISTATS 2022
Entropy Regularized Optimal Transport Independence Criterion AISTATS 2022
PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency AISTATS 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022
Faster Rates of Private Stochastic Convex Optimization ALT 2022
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLEAR 2022
Non-parametric Inference Adaptive to Intrinsic Dimension CLEAR 2022
Revisiting Statistical Laws of Semantic Shift in Romance Cognates COLING 2022
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection COLING 2022
dialectR: Doing Dialectometry in R COLING 2022
Robust Estimation for Random Graphs COLT 2022
Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals COLT 2022
Optimal Mean Estimation without a Variance COLT 2022
The Price of Tolerance in Distribution Testing COLT 2022
Learning with metric losses COLT 2022
Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022
Differential privacy and robust statistics in high dimensions COLT 2022