conftrace_

additive model

48 papers

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Co-occurring keywords

nonparametric regression (111) variable selection (146) sparse additive model (13) bayesian optimization (624) high-dimensional regression (142) sparse regression (175) gaussian process (1200) causal discovery (460) sparse learning (112) representation learning (6206)

Papers

Boosting Causal Additive Models JMLR 2025
A Functional Extension of Semi-Structured Networks NIPS 2024
Are Logistic Models Really Interpretable? IJCAI 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024
Additive Causal Bandits with Unknown Graph ICML 2023
Statistical Learning under Heterogeneous Distribution Shift ICML 2023
Tilted Sparse Additive Models ICML 2023
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLEAR 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023
Sparse Additive Gaussian Process Regression JMLR 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022
Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022
Additive Gaussian Processes Revisited ICML 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Fast Sparse Classification for Generalized Linear and Additive Models AISTATS 2022
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021
Sparse Tensor Additive Regression JMLR 2021
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models AISTATS 2020
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NIPS 2020
Generalized Boosting NIPS 2020
A Refined Margin Distribution Analysis for Forest Representation Learning NIPS 2019