Skip to content
conftrace_

nonlinear model

21 papers

Papers

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis ICML 2025 Importance Sampling for Nonlinear Models ICML 2025 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLeaR 2023 First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains ICLR 2023 iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models NeurIPS 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022 Hessian Eigenspectra of More Realistic Nonlinear Models NeurIPS 2021 Near-Optimal Linear Regression under Distribution Shift ICML 2021 3D Face Modeling From Diverse Raw Scan Data ICCV 2019 Path-Specific Counterfactual Fairness AAAI 2019 Towards High-Fidelity Nonlinear 3D Face Morphable Model CVPR 2019 Regularising Non-linear Models Using Feature Side-information ICML 2017 Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models JMLR 2016 On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016 Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition CVPR 2015 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Nonlinear causal discovery with additive noise models NeurIPS 2008