Regression

Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks JMLR 2023 Implicit Manifold Gaussian Process Regression NeurIPS 2023 Implicit Regularization for Group Sparsity ICLR 2023 Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023 Improving Automated Prediction of English Lexical Blends Through the Use of Observable Linguistic Features ACL 2023 Improving Deep Regression with Ordinal Entropy ICLR 2023 Improving the imputation of missing data with Markov Blanket discovery ICLR 2023 Individualized Dosing Dynamics via Neural Eigen Decomposition NeurIPS 2023 Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 Integrating Random Effects in Deep Neural Networks JMLR 2023 Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection AAAI 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023 Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees AAAI 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Is interpolation benign for random forest regression? AISTATS 2023 Iterative Approximate Cross-Validation ICML 2023 IterativePFN: True Iterative Point Cloud Filtering CVPR 2023 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 jelenasteam at SemEval-2023 Task 9: Quantification of Intimacy in Multilingual Tweets using Machine Learning Algorithms: A Comparative Study on the MINT Dataset SemEval 2023 Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023 L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023