Jonas Mueller

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 11

Top Topics

Knn Classification

Quantile Regression

Nearest Neighbor

Top Venues

J. Mach. Learn. Res.

Publications

Jiuhai Chen, Jonas Mueller
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness. ACL (1) (2024)
Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR (2024)
Jiuhai Chen, Jonas Mueller
Automated Data Curation for Robust Language Model Fine-Tuning. CoRR (2024)
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models. Trans. Mach. Learn. Res. 2024 (2024)
Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. 24 (2023)
Jiuhai Chen, Jonas Mueller
Quantifying Uncertainty in Answers from any Language Model via Intrinsic and Extrinsic Confidence Assessment. CoRR (2023)
Jesse Cummings, Elías Snorrason, Jonas Mueller
Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors. CoRR (2023)
Vedang Lad, Jonas Mueller
Estimating label quality and errors in semantic segmentation data via any model. CoRR (2023)
Ulyana Tkachenko, Aditya Thyagarajan, Jonas Mueller
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data. CoRR (2023)
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei
Detecting Errors in Numerical Data via any Regression Model. CoRR (2023)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs (2023)