Drew Prinster

4 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICML (3) NeurIPS (1)

Top co-authors

Suchi Saria (4) Anqi Liu (4) Samuel Don Stanton (1) Xing Han (1)

Research topics

Machine Learning (4) Application Areas (3) Optimization & Theory (3) Artificial Intelligence (2) Core AI (2) Learning Types (2) Data Science & Analytics (1) Applications (1) Core Methods (1)

Keywords

uncertainty quantification (2) conformal prediction (2) covariate shift (2) active learning (2) prediction interval (1) influence function (1) confidence interval (1) data distribution (1) concept shift (1) predictive uncertainty (1) feedback covariate shift (1) online monitoring (1) distribution-free uncertainty (1) validity guarantee (1) change-points (1) sequential shifts (1) conformal test martingales (1) false-alarms (1) weighted generalization (1) black-box optimization (1)

Papers

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales ICML 2025 Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NeurIPS 2022