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1219 directly classified papers

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Papers

Robust Testing in High-Dimensional Sparse Models NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NIPS 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NIPS 2022
Discovery of Single Independent Latent Variable NIPS 2022
Conformalized Fairness via Quantile Regression NIPS 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
List-Decodable Sparse Mean Estimation NIPS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022
A permutation-free kernel two-sample test NIPS 2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications AISTATS 2022
Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NIPS 2022
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NIPS 2022
Joint Optimization of Sampling Rate Offsets Based on Entire Signal Relationship Among Distributed Microphones INTERSPEECH 2022
Distributional Convergence of the Sliced Wasserstein Process NIPS 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NIPS 2022
Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables AAAI 2022
Convergence Guarantees for the Good-Turing Estimator JMLR 2022
Development of the Siberian Ingrian Finnish Speech Corpus ACL 2022
Structure-adaptive Manifold Estimation JMLR 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Identity testing for Mallows model NIPS 2021
Post-Contextual-Bandit Inference NIPS 2021
Rate-Optimal Subspace Estimation on Random Graphs NIPS 2021