Regression

CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices AAAI 2026 Cognitive Signatures of Multi-Word Expressions: Reading-Time and Surprisal EACL 2026 Conformal Graph Prediction with Z-Gromov Wasserstein Distances UAI 2026 DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026 Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction AAAI 2026 Denoising Mixup for Regression AAAI 2026 Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching AAAI 2026 Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026 Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026 Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Difficulty-Aware Learning Curve Extrapolation AAAI 2026 Diffusion Model Based Signal Recovery Under 1-Bit Quantization AAAI 2026 Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset AAAI 2026 Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation WACV 2026 Draken at SemEval-2026 Task 2: Frozen BERT Embeddings with Ridge Regression for Predicting Emotional Valence and Arousal SemEval 2026 Efficient Learning and Symmetry Discovery under Exact Invariances COLT 2026 Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets AAAI 2026 EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models AAAI 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables AAAI 2026