University of Waterloo2d
Encouraging and supporting the risk-takers
Many entrepreneurs build companies to tackle problems they’ve experienced first-hand — and Kurtis McBride (BASc ’04, MASc ’07 ...
University of Waterloo6d
Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis
Objectives COVID-19 has differentially affected countries, with health infrastructure and other related vulnerability indicators playing a role in determining the extent of its spread. Vulnerability ...
University of Waterloo6d
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Maity, S. , Mukherjee, D. , Banerjee, M. , & Sun, Y. . (2023). Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. In The ...
University of Waterloo6d
Weak Supervision Performance Evaluation via Partial Identification
Polo, F. Maia, Maity, S. , Yurochkin, M. , Banerjee, M. , & Sun, Y. . (2024). Weak Supervision Performance Evaluation via Partial Identification. In The Thirty-eighth ...
University of Waterloo6d
Simple Disentanglement of Style and Content in Visual Representations
Learning visual representations with interpretable features, i.e., disentangled representations, remains a challenging problem. Existing methods demonstrate some success but are hard to apply to large ...
University of Waterloo6d
Understanding new tasks through the lens of training data via exponential tilting
Maity, S. , Yurochkin, M. , Banerjee, M. , & Sun, Y. . (2023). Understanding new tasks through the lens of training data via exponential tilting. In The Eleventh ...
University of Waterloo6d
Statistical inference for individual fairness
Maity, S. , Xue, S. , Yurochkin, M. , & Sun, Y. . (2021). Statistical inference for individual fairness. In The Ninth International Conference on Learning ...
University of Waterloo6d
Does enforcing fairness mitigate biases caused by subpopulation shift?
Many instances of algorithmic bias are caused by subpopulation shifts. For example, ML models often perform worse on demographic groups that are underrepresented in the training data. In this paper, ...
University of Waterloo6d
A linear adjustment-based approach to posterior drift in transfer learning
We present new models and methods for the posterior drift problem where the regression function in the target domain is modelled as a linear adjustment, on an appropriate scale, of that in the source ...
University of Waterloo6d
Minimax optimal approaches to the label shift problem in non-parametric settings
We study the minimax rates of the label shift problem in non-parametric classification. In addition to the unsupervised setting in which the learner only has access to unlabeled examples from the ...
University of Waterloo6d
Aligners: Decoupling LLMs and Alignment
Large Language Models (LLMs) need to be aligned with human expectations to ensure their safety and utility in most applications. Alignment is challenging, costly, and needs to be repeated for every ...
University of Waterloo6d
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Disease risk models can identify high-risk patients and help clinicians provide more personalized care. However, risk models de-veloped on one dataset may not generalize across diverse subpop-ulations ...