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Regression

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Papers

Deep Regression Unlearning ICML 2023
Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023
Tilted Sparse Additive Models ICML 2023
Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023
Stable Estimation of Heterogeneous Treatment Effects ICML 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023
Sequential Predictive Conformal Inference for Time Series ICML 2023
Conformal Prediction with Missing Values ICML 2023
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
A Comparative Study of Ranking Formulas Based on Consistency IJCAI 2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size IJCAI 2023
Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023
Learning Preference Models with Sparse Interactions of Criteria IJCAI 2023
Learning Survival Distribution with Implicit Survival Function IJCAI 2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery IJCAI 2023
Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023
Full Scaling Automation for Sustainable Development of Green Data Centers IJCAI 2023
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer IJCAI 2023