Howard D. Bondell

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Causal Discovery

Density Ratio Estimation

Variable Selection

Polynomial Regression

Top Venues

Comput. Stat. Data Anal.

Stat. Anal. Data Min.

Publications

Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. CLeaR (2024)
Masanari Kimura, Howard D. Bondell
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. CoRR (2024)
Evelyn J. Mannix, Howard D. Bondell
Scalable and Robust Transformer Decoders for Interpretable Image Classification with Foundation Models. CoRR (2024)
Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR (2024)
Jiangrong Ouyang, Howard D. Bondell
Bayesian analysis of longitudinal data via empirical likelihood. Comput. Stat. Data Anal. 187 (2023)
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. 2023 (2023)
Evelyn J. Mannix, Howard D. Bondell
Cold PAWS: Unsupervised class discovery and the cold-start problem. CoRR (2023)
Evelyn J. Mannix, Howard D. Bondell
Improved Prototypical Semi-Supervised Learning with Foundation Models: Prototype Selection, Parametric vMF-SNE Pretraining and Multi-view Pseudolabelling. CoRR (2023)
Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. J. Comput. Graph. Stat. 32 (2) (2023)
Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. NeurIPS (2022)
Rui Li, Brian J. Reich, Howard D. Bondell
Deep distribution regression. Comput. Stat. Data Anal. 159 (2021)
Yaqing Zhao, Howard D. Bondell
Solution paths for the generalized lasso with applications to spatially varying coefficients regression. Comput. Stat. Data Anal. 142 (2020)
David B. Huberman, Brian J. Reich, Howard D. Bondell
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting. CoRR (2020)
Yiqing Tian, Howard D. Bondell, Alyson G. Wilson
Bayesian variable selection for logistic regression. Stat. Anal. Data Min. 12 (5) (2019)
Lin Su, Howard D. Bondell
Best linear estimation via minimization of relative mean squared error. Stat. Comput. 29 (1) (2019)
Yue Yang, Ryan Martin, Howard D. Bondell
Variational approximations using Fisher divergence. CoRR (2019)
Rui Li, Howard D. Bondell, Brian J. Reich
Deep Distribution Regression. CoRR (2019)
Dehan Kong, Howard D. Bondell, Weining Shen
Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS (2018)
Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Stat. Anal. Data Min. 10 (6) (2017)
Dehan Kong, Howard D. Bondell, Yichao Wu
Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. 83 (2015)
Liewen Jiang, Howard D. Bondell, Huixia Judy Wang
Interquantile shrinkage and variable selection in quantile regression. Comput. Stat. Data Anal. 69 (2014)
Brian J. Reich, Curtis B. Storlie, Howard D. Bondell
Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. Technometrics 51 (2) (2009)