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linear regression

335 papers

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differential privacy (24) feature selection (18) convex optimization (17) ridge regression (16) sample complexity (16) logistic regression (15) stochastic gradient descent (15) gradient descent (14) high-dimensional regression (14) in-context learning (14)

Papers

AFourP at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays SemEval 2026 Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases (Extended Abstract) COLT 2026 ChulaNLP at SemEval-2026 Task 5: Regression-Calibrated LLM for Word-Sense Scoring SemEval 2026 CiNet-Handai-Kyodai at SemEval-2026 Task 5: Combining LLM Prompting, Semantic Similarity, and Synthetic Gaze for Graded Sense Plausibility SemEval 2026 Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026 Linear Regression under Missing or Corrupted Coordinates COLT 2026 Linear Regression with Heteroskedastic Errors UAI 2026 On efficient robust regression with subquadratic samples COLT 2026 Online Linear Regression with Paid Stochastic Features AAAI 2026 Optimal L2 Regularization in High-dimensional Continual Linear Regression ALT 2026 Private Linear Regression via a Down-Sensitivity to Privacy Reduction COLT 2026 Refined Risk Bounds for Unbounded Losses via Transductive Priors JMLR 2026 Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract) COLT 2026 Asymptotics of Linear Regression with Linearly Dependent Data L4DC 2025 Batch List-Decodable Linear Regression via Higher Moments ICML 2025 Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary? COLING 2025 Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025 Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention ICML 2025 Matrix Product Sketching via Coordinated Sampling ICLR 2025 Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression AISTATS 2025 Open Problem: Data Selection for Regression Tasks COLT 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025