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Regression

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Papers

Provably tuning the ElasticNet across instances NIPS 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NIPS 2022
Bidirectional Learning for Offline Infinite-width Model-based Optimization NIPS 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering NIPS 2022
Global Convergence of Federated Learning for Mixed Regression NIPS 2022
Conformal Prediction with Temporal Quantile Adjustments NIPS 2022
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer NIPS 2022
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction NIPS 2022
PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics NIPS 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NIPS 2022
A Unified Framework for Deep Symbolic Regression NIPS 2022
Detection and Localization of Changes in Conditional Distributions NIPS 2022
Interpolation and Regularization for Causal Learning NIPS 2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NIPS 2022
Scalable Interpretability via Polynomials NIPS 2022
Acceleration in Distributed Sparse Regression NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AUTOML 2022
What to expect of hardware metric predictors in NAS AUTOML 2022
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups CORL 2022
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping CORL 2022
In-Hand Gravitational Pivoting Using Tactile Sensing CORL 2022
Perceptual Quality Assessment of Omnidirectional Images AAAI 2022
Learning to Search in Local Branching AAAI 2022