Statistical Learning

Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021 Instance-dependent Label-noise Learning under a Structural Causal Model NeurIPS 2021 Instance-optimal Mean Estimation Under Differential Privacy NeurIPS 2021 Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints JMLR 2021 Inverse-Weighted Survival Games NeurIPS 2021 Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature Extraction Interspeech 2021 Is SGD a Bayesian sampler? Well, almost JMLR 2021 Iterative regularization for convex regularizers AISTATS 2021 Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021 Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data JMLR 2021 Knowledge Distillation as Semiparametric Inference ICLR 2021 Label Distribution Learning Machine ICML 2021 Label Inference Attacks from Log-loss Scores ICML 2021 Label-Only Membership Inference Attacks ICML 2021 Language Model Evaluation Beyond Perplexity ACL 2021 Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data ACL 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021 Learning and testing junta distributions with sub cube conditioning COLT 2021 Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks AAAI 2021 Learning curves of generic features maps for realistic datasets with a teacher-student model NeurIPS 2021 Learning Deep Generative Models for Queuing Systems AAAI 2021 Learning from Biased Data: A Semi-Parametric Approach ICML 2021 Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NeurIPS 2021