Regression

Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression ICML 2024 First-Order Manifold Data Augmentation for Regression Learning ICML 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models CVPR 2024 FocusTune: Tuning Visual Localization Through Focus-Guided Sampling WACV 2024 Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling EMNLP 2024 Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting NeurIPS 2024 Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors JMLR 2024 Frequency-aware Generative Models for Multivariate Time Series Imputation NeurIPS 2024 From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 From GARCH to Neural Network for Volatility Forecast AAAI 2024 From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation ACL 2024 Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective AAAI 2024 Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees ICML 2024 Functional Bilevel Optimization for Machine Learning NeurIPS 2024 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 Generalizable Human Gaussians for Sparse View Synthesis ECCV 2024 Generalization and Learnability in Multiple Instance Regression UAI 2024 Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis ICML 2024 Generalization in Kernel Regression Under Realistic Assumptions ICML 2024 Generalization on the Unseen, Logic Reasoning and Degree Curriculum JMLR 2024