Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
-
., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
-
the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
-
temporal drift using mixed-effects models, empirical Bayes approaches, and sensitivity analyses. Handle missing with principled methods (e.g., MICE, IPW); quantify robustness. Maintain privacy-conscious data
-
, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
-
confronting data quality and explore the common approaches and tools for resolving them. Advanced data analytics methods, such as advanced decision trees, naive Bayes, k-nearest neighbors, and neural networks