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1219 directly classified papers

Papers per year

Papers

Nearly-Tight Bounds for Testing Histogram Distributions NIPS 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NIPS 2022
Mean Estimation with User-level Privacy under Data Heterogeneity NIPS 2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications AISTATS 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC NIPS 2022
Mean-field nonparametric estimation of interacting particle systems COLT 2022
List-Decodable Sparse Mean Estimation NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NIPS 2022
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NIPS 2022
Estimating graphical models for count data with applications to single-cell gene network NIPS 2022
Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022
Inference and Sampling for Archimax Copulas NIPS 2022
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NIPS 2022
Discovery of Single Independent Latent Variable NIPS 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NIPS 2022
Non-parametric inference of relational dependence UAI 2022
Conformalized Fairness via Quantile Regression NIPS 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
Conformal Frequency Estimation with Sketched Data NIPS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022
Robust Testing in High-Dimensional Sparse Models NIPS 2022
Differentially Private Covariance Revisited NIPS 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Effective Dimension in Bandit Problems under Censorship NIPS 2022