Howard D. Bondell
Orcid: 0000-0001-7743-0840Affiliations:
- University of Melbourne, VIC, Australia
According to our database1,
Howard D. Bondell
authored at least 26 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds.
CoRR, 2024
Scalable and Robust Transformer Decoders for Interpretable Image Classification with Foundation Models.
CoRR, 2024
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach.
Proceedings of the Causal Learning and Reasoning, 2024
2023
Comput. Stat. Data Anal., November, 2023
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data.
J. Comput. Graph. Stat., April, 2023
Improved Prototypical Semi-Supervised Learning with Foundation Models: Prototype Selection, Parametric vMF-SNE Pretraining and Multi-view Pseudolabelling.
CoRR, 2023
2022
Temporal and spectral governing dynamics of Australian hydrological streamflow time series.
J. Comput. Sci., 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data.
CoRR, 2021
2020
Solution paths for the generalized lasso with applications to spatially varying coefficients regression.
Comput. Stat. Data Anal., 2020
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting.
CoRR, 2020
2019
Stat. Comput., 2019
2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints.
Stat. Anal. Data Min., 2017
2015
Comput. Stat. Data Anal., 2015
2014
Comput. Stat. Data Anal., 2014
2009
Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes.
Technometrics, 2009