ridge regression

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration CVPR 2026 Draken at SemEval-2026 Task 2: Frozen BERT Embeddings with Ridge Regression for Predicting Emotional Valence and Arousal SemEval 2026 Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression CVPR 2026 QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract) COLT 2026 The Distribution of Ridgeless Least Squares Interpolators JMLR 2026 When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition UAI 2026 An Effective Theory of Bias Amplification ICLR 2025 Asymptotics of Linear Regression with Linearly Dependent Data L4DC 2025 Benign Overfitting in Out-of-Distribution Generalization of Linear Models ICLR 2025 Distributed Differentially Private Data Analytics via Secure Sketching ICML 2025 Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025 Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Interspeech 2025 FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages NAACL 2025 On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks ICML 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025 Risk and cross validation in ridge regression with correlated samples ICML 2025 RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models EMNLP 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning ICML 2025 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers ICML 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression UAI 2024 Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning ICLR 2024 Dimension-free deterministic equivalents and scaling laws for random feature regression NeurIPS 2024 ERQ: Error Reduction for Post-Training Quantization of Vision Transformers ICML 2024