2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Quantifying and Improving Adaptivity in Conformal Prediction through Input Transformations
Sooyong Jang, Insup Lee
Conformal prediction constructs a set of labels instead of a single point prediction, while providing a probabilistic coverage guarantee. Beyond the coverage guarantee, adaptivenes…
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
Wenwen Si, Sooyong Jang, Insup Lee +1
While large language models (LLMs) have recently made tremendous progress towards solving challenging AI problems, they have done so at increasingly steep computational and API cos…
Confidence Calibration with Bounded Error Using Transformations
Sooyong Jang, Radoslav Ivanov, Insup Lee +1
As machine learning techniques become widely adopted in new domains, especially in safety-critical systems such as autonomous vehicles, it is crucial to provide accurate output unc…
Improving Classifier Confidence using Lossy Label-Invariant Transformations
Sooyong Jang, Insup Lee, James Weimer
Providing reliable model uncertainty estimates is imperative to enabling robust decision making by autonomous agents and humans alike. While recently there have been significant ad…