Yi Yang

Orcid: 0000-0002-8086-6247

Affiliations:
  • McGill University, Department of Mathematics and Statistics, Montréal, Canada
  • University of Minnesota, School of Statistics, Minneapolis, MN, USA (PhD 2015)


According to our database1, Yi Yang authored at least 16 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization.
CoRR, February, 2026

CAIRO: Decoupling Order from Scale in Regression.
CoRR, February, 2026

Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting.
CoRR, February, 2026

2025
QComp: A QSAR-Based Imputation Framework for Drug Discovery.
J. Chem. Inf. Model., 2025

Conformal Selection for Efficient and Accurate Compound Screening in Drug Discovery.
J. Chem. Inf. Model., 2025

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Generalized Random Forests Using Fixed-Point Trees.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multivariate Conformal Selection.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
MixEHR-SurG: A joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records.
J. Biomed. Informatics, 2024

QComp: A QSAR-Based Data Completion Framework for Drug Discovery.
CoRR, 2024

2023
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space.
Technometrics, April, 2023

A sparse additive model for high-dimensional interactions with an exposure variable.
Comput. Stat. Data Anal., 2023

Accelerating Generalized Random Forests with Fixed-Point Trees.
CoRR, 2023

2022
A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2018
Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces.
Technometrics, 2018

2015
A fast unified algorithm for solving group-lasso penalize learning problems.
Stat. Comput., 2015


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