linear model

Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract) AAAI 2026 Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent? COLT 2026 A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025 A Multi-Task Learning Approach to Linear Multivariate Forecasting AISTATS 2025 Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis ICML 2025 Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime COLT 2025 Linear Contextual Bandits With Interference ICML 2025 Probabilistic Explanations for Linear Models AAAI 2025 Statistical Test for Auto Feature Engineering by Selective Inference AISTATS 2025 Statistical Test for Feature Selection Pipelines by Selective Inference ICML 2025 What makes an Ensemble (Un) Interpretable? ICML 2025 An Analysis of Linear Time Series Forecasting Models ICML 2024 Auto-Regressive Next-Token Predictors are Universal Learners ICML 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 Implicit Optimization Bias of Next-token Prediction in Linear Models NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024 Local vs. Global Interpretability: A Computational Complexity Perspective ICML 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024