Statistical Learning

The MSP-Conversation Corpus Interspeech 2020 The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization ICML 2020 The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 2020 The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture ICML 2020 The Statistical Complexity of Early-Stopped Mirror Descent NeurIPS 2020 The Statistical Cost of Robust Kernel Hyperparameter Turning NeurIPS 2020 The Sylvester Graphical Lasso (SyGlasso) AISTATS 2020 Tight Lower Bounds for Combinatorial Multi-Armed Bandits COLT 2020 Topic Modeling via Full Dependence Mixtures ICML 2020 Towards a Better Evaluation of Metrics for Machine Translation EMNLP 2020 Towards a Comprehensive Assessment of Speech Intelligibility for Pathological Speech Interspeech 2020 Towards Competitive N-gram Smoothing AISTATS 2020 Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) ICML 2020 Towards Problem-dependent Optimal Learning Rates NeurIPS 2020 Toward universal testing of dynamic network models ALT 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Two-sample Testing Using Deep Learning AISTATS 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees L4DC 2020 Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus Interspeech 2020 Uncertainty Based Camera Model Selection CVPR 2020 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020 Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NeurIPS 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020