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684 papers

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Papers

ROME: Robust Multi-Modal Density Estimator IJCAI 2024
Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024
Decorrelated Variable Importance JMLR 2024
Nonparametric Inference under B-bits Quantization JMLR 2024
Post-Regularization Confidence Bands for Ordinary Differential Equations JMLR 2024
On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024
Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024
Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024
Split Conformal Prediction and Non-Exchangeable Data JMLR 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
False discovery proportion envelopes with m-consistency JMLR 2024
Non-splitting Neyman-Pearson Classifiers JMLR 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
Improving Normalization With the James-Stein Estimator WACV 2024
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison NIPS 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023
Non-stationary Experimental Design under Linear Trends NIPS 2023
Robust Mean Estimation Without Moments for Symmetric Distributions NIPS 2023
Learning Exponential Families from Truncated Samples NIPS 2023