-
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Paper • 2301.12736 • Published -
A Survey of Methods for Automated Algorithm Configuration
Paper • 2202.01651 • Published -
Preselection Bandits
Paper • 1907.06123 • Published -
Second-Order Uncertainty Quantification: A Distance-Based Approach
Paper • 2312.00995 • Published
Viktor Bengs
BengsV
AI & ML interests
Bandit Algorithms, Uncertainty Quantification, Preference-based Learning, and Explainable AI
Organizations
None yet
-
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Paper • 2301.12736 • Published -
A Survey of Methods for Automated Algorithm Configuration
Paper • 2202.01651 • Published -
Preselection Bandits
Paper • 1907.06123 • Published -
Second-Order Uncertainty Quantification: A Distance-Based Approach
Paper • 2312.00995 • Published
models
0
None public yet
datasets
0
None public yet