Howard D. Bondell

40 papers A* 3A 2Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood. CoRR Jiangrong Ouyang, Mingming Gong, Howard D. Bondell
2026	J	`jnl`	Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood. J. Mach. Learn. Res. Jiangrong Ouyang, Mingming Gong, Howard D. Bondell
2025	J	`jnl`	A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models. Trans. Mach. Learn. Res. Evelyn J. Mannix, Howard D. Bondell
2025	J	`jnl`	ComFe: An Interpretable Head for Vision Transformers. Trans. Mach. Learn. Res. Evelyn J. Mannix, Liam Hodgkinson, Howard D. Bondell
2025	A	`conf`	Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. AISTATS Masanari Kimura, Howard D. Bondell
2025	J	`jnl`	Efficient sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm. Comput. Stat. Data Anal. Alexander C. McLain, Anja Zgodic, Howard D. Bondell
2025	J	`jnl`	Generalized Power Priors for Improved Bayesian Inference with Historical Data. CoRR Masanari Kimura, Howard D. Bondell
2025	A*	`conf`	MissScore: High-Order Score Estimation in the Presence of Missing Data. ICML Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2025	J	`jnl`	Power-divergence copulas: A new class of Archimedean copulas, with an insurance application. CoRR Alan R. Pearse, Howard D. Bondell
2025	J	`jnl`	Preserving Angles Improves Feature Distillation. Trans. Mach. Learn. Res. Evelyn J. Mannix, Liam Hodgkinson, Howard D. Bondell
2025	J	`jnl`	Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry. CoRR Masanari Kimura, Howard D. Bondell
2024	A*	`conf`	A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong
2024	—	`conf`	Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. CLeaR Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2024	J	`jnl`	Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. CoRR Masanari Kimura, Howard D. Bondell
2024	J	`jnl`	Faithful Label-free Knowledge Distillation. CoRR Evelyn J. Mannix, Liam Hodgkinson, Howard D. Bondell
2024	J	`jnl`	Scalable and Robust Transformer Decoders for Interpretable Image Classification with Foundation Models. CoRR Evelyn J. Mannix, Howard D. Bondell
2024	J	`jnl`	Test-Time Augmentation Meets Variational Bayes. CoRR Masanari Kimura, Howard D. Bondell
2023	J	`jnl`	Bayesian analysis of longitudinal data via empirical likelihood. Comput. Stat. Data Anal. Jiangrong Ouyang, Howard D. Bondell
2023	J	`jnl`	Cold PAWS: Unsupervised class discovery and the cold-start problem. CoRR Evelyn J. Mannix, Howard D. Bondell
2023	J	`jnl`	FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2023	J	`jnl`	Improved Prototypical Semi-Supervised Learning with Foundation Models: Prototype Selection, Parametric vMF-SNE Pretraining and Multi-view Pseudolabelling. CoRR Evelyn J. Mannix, Howard D. Bondell
2023	J	`jnl`	Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. J. Comput. Graph. Stat. Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi
2022	A*	`conf`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. NeurIPS Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. CoRR Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	Temporal and spectral governing dynamics of Australian hydrological streamflow time series. J. Comput. Sci. Nick James, Howard D. Bondell
2022	—	`conf`	Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong
2021	J	`jnl`	Deep distribution regression. Comput. Stat. Data Anal. Rui Li, Brian J. Reich, Howard D. Bondell
2021	J	`jnl`	Federated Causal Discovery. CoRR Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2021	J	`jnl`	Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. CoRR Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi
2020	J	`jnl`	Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting. CoRR David B. Huberman, Brian J. Reich, Howard D. Bondell
2020	J	`jnl`	Solution paths for the generalized lasso with applications to spatially varying coefficients regression. Comput. Stat. Data Anal. Yaqing Zhao, Howard D. Bondell
2019	J	`jnl`	Bayesian variable selection for logistic regression. Stat. Anal. Data Min. Yiqing Tian, Howard D. Bondell, Alyson G. Wilson
2019	J	`jnl`	Best linear estimation via minimization of relative mean squared error. Stat. Comput. Lin Su, Howard D. Bondell
2019	J	`jnl`	Deep Distribution Regression. CoRR Rui Li, Howard D. Bondell, Brian J. Reich
2019	J	`jnl`	Variational approximations using Fisher divergence. CoRR Yue Yang, Ryan Martin, Howard D. Bondell
2018	A	`conf`	Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS Dehan Kong, Howard D. Bondell, Weining Shen
2017	J	`jnl`	A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Stat. Anal. Data Min. Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
2015	J	`jnl`	Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. Dehan Kong, Howard D. Bondell, Yichao Wu
2014	J	`jnl`	Interquantile shrinkage and variable selection in quantile regression. Comput. Stat. Data Anal. Liewen Jiang, Howard D. Bondell, Huixia Judy Wang
2009	J	`jnl`	Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. Technometrics Brian J. Reich, Curtis B. Storlie, Howard D. Bondell