Statistical Learning

Mixture Proportion Estimation and PU Learning:A Modern Approach NeurIPS 2021 Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021 Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale Interspeech 2021 Model Linkage Selection for Cooperative Learning JMLR 2021 Model Performance Scaling with Multiple Data Sources ICML 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 Models of Reaction Times in Auditory Lexical Decision: RTonset versus RToffset Interspeech 2021 More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021 MT-Telescope: An interactive platform for contrastive evaluation of MT systems ACL 2021 MultiLexNorm: A Shared Task on Multilingual Lexical Normalization EMNLP 2021 Multiple Descent: Design Your Own Generalization Curve NeurIPS 2021 Neural Bootstrapper NeurIPS 2021 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 Nonparametric Variable Screening with Optimal Decision Stumps AISTATS 2021 Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 Off-Policy Confidence Sequences ICML 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 On Empirical Risk Minimization with Dependent and Heavy-Tailed Data NeurIPS 2021 On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021