Regression

Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance AAAI 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 TReX: Tokenizer Regression for Optimal Data Mixture EACL 2026 TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026 TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning AAAI 2026 Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026 Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026 Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports AAAI 2026 Variance reduction combining pre-experiment and in-experiment data CLeaR 2026 VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning AAAI 2026 What does Surprisal have to do with Information Status? EACL 2026 When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition UAI 2026 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025 Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p ICML 2025 ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025 A Characterization of List Regression ALT 2025 A Conditional Independence Test in the Presence of Discretization ICLR 2025 Active Learning for Neural PDE Solvers ICLR 2025 Adapting Dense Matching for Homography Estimation with Grid-based Acceleration CVPR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time ICML 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories ICLR 2025