Statistics

The Sample Complexity of Robust Covariance Testing COLT 2021 Uncertainty-aware sensitivity analysis using Rényi divergences UAI 2021 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021 Acoustic Properties of Strident Fricatives at the Edges: Implications for Consonant Discrimination Interspeech 2020 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 A General Method for Robust Learning from Batches NeurIPS 2020 Age-Related Differences of Tone Perception in Mandarin-Speaking Seniors Interspeech 2020 Aggregation of Multiple Knockoffs ICML 2020 A kernel test for quasi-independence NeurIPS 2020 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NeurIPS 2020 An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results ACL 2020 A polynomial-time algorithm for learning nonparametric causal graphs NeurIPS 2020 Approximate Representer Theorems in Non-reflexive Banach Spaces ALT 2020 A Robust Functional EM Algorithm for Incomplete Panel Count Data NeurIPS 2020 A Robust Univariate Mean Estimator is All You Need AISTATS 2020 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices COLT 2020 Asymptotic Risk of Bézier Simplex Fitting AAAI 2020 Automated Spectral Kernel Learning AAAI 2020 Bilingual Acoustic Voice Variation is Similarly Structured Across Languages Interspeech 2020 Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach L4DC 2020 Change Point Estimation in a Dynamic Stochastic Block Model JMLR 2020