Bondell, Howard

10 publications

TMLR 2025 A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models Evelyn Mannix, Howard Bondell

TMLR 2025 ComFe: An Interpretable Head for Vision Transformers Evelyn Mannix, Liam Hodgkinson, Howard Bondell

AISTATS 2025 Density Ratio Estimation via Sampling Along Generalized Geodesics on Statistical Manifolds Masanari Kimura, Howard Bondell

ICML 2025 MissScore: High-Order Score Estimation in the Presence of Missing Data Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard Bondell, Mingming Gong

TMLR 2025 Preserving Angles Improves Feature Distillation Evelyn Mannix, Liam Hodgkinson, Howard Bondell

ICLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong

CLeaR 2024 Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard Bondell, Mingming Gong

TMLR 2023 FedDAG: Federated DAG Structure Learning Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell

NeurIPS 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell

ECCV 2022 Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong