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Proceedings of Machine Learning Research
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August 30, 2024
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian Cho, Yaroslav Mukhin, Kyra Gan, et al.
Proceedings of Machine Learning Research
|
October 1, 2024
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling
Mert Ketenci, Shreyas Bhave, Noémie Elhadad, et al.
Proceedings of Machine Learning Research
|
September 25, 2024
Adapt and Diffuse: Sample-Adaptive Reconstruction Via Latent Diffusion Models
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Proceedings of Machine Learning Research
|
October 18, 2024
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng, Junyuan Hong, Jiayu Zhou, et al.
Proceedings of Machine Learning Research
|
October 17, 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
Proceedings of Machine Learning Research
|
October 17, 2024
Data Consistent Deep Rigid MRI Motion Correction
Nalini M Singh, Neel Dey, Malte Hoffmann, et al.
Proceedings of Machine Learning Research
|
March 6, 2025
s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers
Raghav Tandon, James J Lah, Cassie S Mitchell
Proceedings of Machine Learning Research
|
July 11, 2024
Radiology Reports Improve Visual Representations Learned from Radiographs
Haoxu Huang, Samyak Rawlekar, Sumit Chopra, et al.
Proceedings of Machine Learning Research
|
December 17, 2025
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
Naitong Chen, Jonathan H Huggins, Trevor Campbell
Proceedings of Machine Learning Research
|
December 1, 2025
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi Chen, Yahong Yang, Yang Xiang, et al.
Page
of 31
Search research articles
Search
Showing results (291-300 of 305) with videos related to
Sort By:
Page
of 31
Proceedings of Machine Learning Research
|
August 30, 2024
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian Cho, Yaroslav Mukhin, Kyra Gan, et al.
Proceedings of Machine Learning Research
|
October 1, 2024
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling
Mert Ketenci, Shreyas Bhave, Noémie Elhadad, et al.
Proceedings of Machine Learning Research
|
September 25, 2024
Adapt and Diffuse: Sample-Adaptive Reconstruction Via Latent Diffusion Models
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Proceedings of Machine Learning Research
|
October 18, 2024
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng, Junyuan Hong, Jiayu Zhou, et al.
Proceedings of Machine Learning Research
|
October 17, 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
Proceedings of Machine Learning Research
|
October 17, 2024
Data Consistent Deep Rigid MRI Motion Correction
Nalini M Singh, Neel Dey, Malte Hoffmann, et al.
Proceedings of Machine Learning Research
|
March 6, 2025
s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers
Raghav Tandon, James J Lah, Cassie S Mitchell
Proceedings of Machine Learning Research
|
July 11, 2024
Radiology Reports Improve Visual Representations Learned from Radiographs
Haoxu Huang, Samyak Rawlekar, Sumit Chopra, et al.
Proceedings of Machine Learning Research
|
December 17, 2025
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
Naitong Chen, Jonathan H Huggins, Trevor Campbell
Proceedings of Machine Learning Research
|
December 1, 2025
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi Chen, Yahong Yang, Yang Xiang, et al.
Page
of 31