Performance Analysis
Infra-slow brain dynamics as a marker for cognitive function and decline
Shagun Ajmera Shyam Sunder Ajmera, Shreya Rajagopal, Razi Rehman, Devarajan Sridharan
Neural Information Processing Systems http://nips.cc/
Approximate Cross-Validation for Structured Models
In the present work, we address (i) by extending ACV to CV schemes with dependence structure between the folds.
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
In some cases, however, it may be desirable to include an extremely large number of constraints.
Export Reviews, Discussions, Author Feedback and Meta-Reviews
The paper shows that the optimal rule for such metrics has the form of sign(P(y|x)-\delta^*), where \delta^* is a threshold that is metric dependent. This unified framework recovers many results for metrics studied in the literature. Authors devise 2 simple algorithms for estimating p(y|x) and the threshold delta^*. Bayes and statistical consistency of the proposed algorithms is then analyzed.
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
There are many natural models for noise.
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
Machine learning models developed from real-world data can inherit pre-existing bias in the dataset. When these models are used to inform decisions involving humans, it may exhibit similar discrimination against sensitive attributes (e.g., gender and race) [
