Statistical Learning
4,564 papers
Papers per year
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Papers
Small coresets via negative dependence: DPPs, linear statistics, and concentration
NeurIPS 2024
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract)
COLT 2024
SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts
NAACL 2024
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
AISTATS 2024
SpaCE: The Spatial Confounding Environment
ICLR 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach
JMLR 2024
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
JMLR 2024
Spatial properties of Bayesian unsupervised trees
COLT 2024
Speaker Detection by the Individual Listener and the Crowd: Parametric Models Applicable to Bonafide and Deepfake Speech
Interspeech 2024
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract)
COLT 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes
NeurIPS 2024
Spectrally Transformed Kernel Regression
ICLR 2024
Spectral Regularized Kernel Goodness-of-Fit Tests
JMLR 2024
Split Conformal Prediction and Non-Exchangeable Data
JMLR 2024
Stability and L2-penalty in Model Averaging
JMLR 2024
Stage-Aware Learning for Dynamic Treatments
JMLR 2024
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
JMLR 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
NeurIPS 2024
Statistical-Computational Trade-offs for Density Estimation
NeurIPS 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk
COLT 2024
Statistical Efficiency of Distributional Temporal Difference Learning
NeurIPS 2024
Statistical Inference for Fairness Auditing
JMLR 2024
Statistical Multicriteria Benchmarking via the GSD-Front
NeurIPS 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
JMLR 2024