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1219 directly classified papers

Papers per year

Papers

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search AISTATS 2022
Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022
Mean-field nonparametric estimation of interacting particle systems COLT 2022
Discovery of Single Independent Latent Variable NIPS 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NIPS 2022
The Semi-random Likelihood of Doctrinal Paradoxes AAAI 2022
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC NIPS 2022
RUMs from Head-to-Head Contests ICML 2022
Entropy Estimation via Normalizing Flow AAAI 2022
The Implicit Delta Method NIPS 2022
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity AISTATS 2022
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022
Metrics of Calibration for Probabilistic Predictions JMLR 2022
Maximum sampled conditional likelihood for informative subsampling JMLR 2022
A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022
Convergence Rates for Gaussian Mixtures of Experts JMLR 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Community detection in sparse latent space models JMLR 2022
Network Regression with Graph Laplacians JMLR 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022