Mert Ketenci

4 papers · 2021–2025 · 3 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 ❓ The Questioner

Venues

MLHC (2) NAACL (1) UAI (1)

Top co-authors

Noemie Elhadad (4) Inigo Urteaga (1) Vincent Jeanselme (1) Shreyas Bhave (1) Adler Perotte (1) Adler J Perotte (1) Shalmali Joshi (1) Griffin Adams (1) Emily Alsentzer (1) Harry Reyes Nieva (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core Methods (2) Deep Learning (1) Interdisciplinary (1) Architectures (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Optimization & Theory (1) Social (1)

Keywords

coreset selection (1) importance sampling (1) gaussian process regression (1) survival analysis (1) maximum likelihood estimation (1) stochastic variational inference (1) additive model (1) variational lower bound (1) survival prediction (1) sparse gaussian process (1) multi-document summarization (1) time-to-event analysis (1) time to event (1) survival regression (1) discharge note (1) clinical narrative summarization (1) hospital-course summarization (1) hazard analysis (1) hazard model (1) interpretable (1)

Papers

Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression MLHC 2025 Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling MLHC 2023 What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization NAACL 2021