Statistical Learning

Adversarially Robust Estimate and Risk Analysis in Linear Regression AISTATS 2021 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 Aggregated Hold-Out JMLR 2021 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021 A kernel two-sample test with selection bias UAI 2021 Almost Linear Time Density Level Set Estimation via DBSCAN AAAI 2021 A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS 2021 A Multinomial Processing Tree Model of RC Attachment NAACL 2021 Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NeurIPS 2021 An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NeurIPS 2021 An Automatic, Simple Ultrasound Biofeedback Parameter for Distinguishing Accurate and Misarticulated Rhotic Syllables Interspeech 2021 An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NeurIPS 2021 An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NeurIPS 2021 An Exact Characterization of the Generalization Error for the Gibbs Algorithm NeurIPS 2021 An Importance Weighted Feature Selection Stability Measure JMLR 2021 A nonparametric method for gradual change problems with statistical guarantees NeurIPS 2021 Answering Complex Causal Queries With the Maximum Causal Set Effect NeurIPS 2021 Application of kernel hypothesis testing on set-valued data UAI 2021 A Precise Performance Analysis of Support Vector Regression ICML 2021 argmax centroid NeurIPS 2021 A Statistical Extension of Byte-Pair Encoding ACL 2021 A Statistical Perspective on Coreset Density Estimation AISTATS 2021 A statistical perspective on distillation ICML 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021