Search Results for author:
Found 3 papers, 2 papers with code
Corruption-tolerant Algorithms for Generalized Linear Models
This paper presents SVAM (Sequential Variance-Altered MLE), a unified framework for learning generalized linear models under adversarial label corruption in training data.
AGGLIO: Global Optimization for Locally Convex Functions
This paper presents AGGLIO (Accelerated Graduated Generalized LInear-model Optimization), a stage-wise, graduated optimization technique that offers global convergence guarantees for non-convex optimization problems whose objectives offer only local convexity and may fail to be even quasi-convex at a global scale.
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization
Mass public quarantining, colloquially known as a lock-down, is a non-pharmaceutical intervention to check spread of disease.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
