Co-occurring keywords · papers mentioning both
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