Statistics
1,367 papers
Papers per year
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Papers
Nonparametric Estimation in the Dynamic Bradley-Terry Model
AISTATS 2020
Non-parametric Models for Non-negative Functions
NeurIPS 2020
On a projective ensemble approach to two sample test for equality of distributions
ICML 2020
On Learnability wih Computable Learners
ALT 2020
Online Control of the False Coverage Rate and False Sign Rate
ICML 2020
On Mahalanobis Distance in Functional Settings
JMLR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
JMLR 2020
On the Theoretical Properties of the Network Jackknife
ICML 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity
NeurIPS 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
NeurIPS 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions
NeurIPS 2020
Private Identity Testing for High-Dimensional Distributions
NeurIPS 2020
Private Mean Estimation of Heavy-Tailed Distributions
COLT 2020
Private Protocols for U-Statistics in the Local Model and Beyond
AISTATS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NeurIPS 2020
Prosody and Breathing: A Comparison Between Rhetorical and Information-Seeking Questions in German and Brazilian Portuguese
Interspeech 2020
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
IJCAI 2020
Rank Aggregation via Heterogeneous Thurstone Preference Models
AAAI 2020
Rigorous Guarantees for Tyler’s M-Estimator via Quantum Expansion
COLT 2020
Robust Correction of Sampling Bias using Cumulative Distribution Functions
NeurIPS 2020
Robust Density Estimation under Besov IPM Losses
NeurIPS 2020
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
NeurIPS 2020
Robust Persistence Diagrams using Reproducing Kernels
NeurIPS 2020
Sample Complexity of Kalman Filtering for Unknown Systems
L4DC 2020
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
ICML 2020