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Proceedings of Machine Learning Research
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January 23, 2026
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H Abbasi, et al.
Proceedings of Machine Learning Research
|
December 12, 2023
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H Chang, Ling Zhou, et al.
Proceedings of Machine Learning Research
|
March 28, 2024
Causal Learning through Deliberate Undersampling
Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, et al.
Proceedings of Machine Learning Research
|
November 7, 2023
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
Sepanta Zeighami, Cyrus Shahabi
Proceedings of Machine Learning Research
|
October 19, 2023
Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant <i>Staphylococcus Aureus</i> Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data
Inyoung Jun, Scott A Cohen, Sarah E Ser, et al.
Proceedings of Machine Learning Research
|
August 30, 2023
Learning Invariant Representations with Missing Data
Mark Goldstein, Aahlad Puli, Rajesh Ranganath, et al.
Proceedings of Machine Learning Research
|
September 4, 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, et al.
Proceedings of Machine Learning Research
|
May 31, 2023
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR
Ran Xu, Yue Yu, Chao Zhang, et al.
Proceedings of Machine Learning Research
|
May 30, 2023
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
Young-Geun Kim, Ying Liu, Xue-Xin Wei
Proceedings of Machine Learning Research
|
September 8, 2023
DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan, Aahlad Puli, Wesley Tansey, et al.
Page
of 31
Search research articles
Search
Showing results (121-130 of 303) with videos related to
Sort By:
Page
of 31
Proceedings of Machine Learning Research
|
January 23, 2026
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H Abbasi, et al.
Proceedings of Machine Learning Research
|
December 12, 2023
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H Chang, Ling Zhou, et al.
Proceedings of Machine Learning Research
|
March 28, 2024
Causal Learning through Deliberate Undersampling
Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, et al.
Proceedings of Machine Learning Research
|
November 7, 2023
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
Sepanta Zeighami, Cyrus Shahabi
Proceedings of Machine Learning Research
|
October 19, 2023
Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant <i>Staphylococcus Aureus</i> Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data
Inyoung Jun, Scott A Cohen, Sarah E Ser, et al.
Proceedings of Machine Learning Research
|
August 30, 2023
Learning Invariant Representations with Missing Data
Mark Goldstein, Aahlad Puli, Rajesh Ranganath, et al.
Proceedings of Machine Learning Research
|
September 4, 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, et al.
Proceedings of Machine Learning Research
|
May 31, 2023
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR
Ran Xu, Yue Yu, Chao Zhang, et al.
Proceedings of Machine Learning Research
|
May 30, 2023
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
Young-Geun Kim, Ying Liu, Xue-Xin Wei
Proceedings of Machine Learning Research
|
September 8, 2023
DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan, Aahlad Puli, Wesley Tansey, et al.
Page
of 31