Regression

An algorithmic view of L2 regularization and some path-following algorithms JMLR 2021 Analysis of Language Change in Collaborative Instruction Following EMNLP 2021 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021 A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data L4DC 2021 A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021 Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model AISTATS 2021 An Optimal Reduction of TV-Denoising to Adaptive Online Learning AISTATS 2021 Application for Detecting Depression, Parkinson’s Disease and Dysphonic Speech Interspeech 2021 Approximate Midpoint Policy Iteration for Linear Quadratic Control L4DC 2021 A Precise Performance Analysis of Support Vector Regression ICML 2021 Arbitrary Conditional Distributions with Energy NeurIPS 2021 archer at SemEval-2021 Task 1: Contextualising Lexical Complexity SemEval 2021 ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021 A Regression Approach to Learning-Augmented Online Algorithms NeurIPS 2021 Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR 2021 Articulatory Coordination for Speech Motor Tracking in Huntington Disease Interspeech 2021 A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples ICML 2021 A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility Prediction Interspeech 2021 Assessing Image and Text Generation With Topological Analysis and Fuzzy Logic WACV 2021 A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NeurIPS 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021 Asymptotics of Ridge(less) Regression under General Source Condition AISTATS 2021 Asymptotics of Ridge Regression in Convolutional Models ICML 2021 A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021