Statistical Learning

Lifting Weak Supervision To Structured Prediction NeurIPS 2022 LinCDE: Conditional Density Estimation via Lindsey's Method JMLR 2022 Linear Label Ranking with Bounded Noise NeurIPS 2022 List-Decodable Sparse Mean Estimation NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Low-rank Optimal Transport: Approximation, Statistics and Debiasing NeurIPS 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality ICLR 2022 Mandarin Tone Sandhi Realization: Evidence from Large Speech Corpora Interspeech 2022 Manifold Coordinates with Physical Meaning JMLR 2022 Marginal Tail-Adaptive Normalizing Flows ICML 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Measures of Information Reflect Memorization Patterns NeurIPS 2022 Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022 Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022 Minimax M-estimation under Adversarial Contamination ICML 2022 Minimax optimal approaches to the label shift problem in non-parametric settings JMLR 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Mitigating Bias in Calibration Error Estimation AISTATS 2022 Mitigating statistical bias within differentially private synthetic data UAI 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022