5 papers
Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters
Minxing Zheng, Wenbin Zhou, Shixiang Zhu
Many prediction problems seek to infer an unobserved, instance-specific parameter that governs the distribution of an observable response, even though the latent parameter is unava…
Learning to Test: Physics-Informed Representation for Dynamical Instability Detection
Minxing Zheng, Zewei Deng, Liyan Xie +1
Many safety-critical scientific and engineering systems evolve according to differential-algebraic equations (DAEs), where dynamical behavior is constrained by physical laws and ad…
Change Point Inference for Non-Euclidean Data Sequences using Distance Profiles
Paromita Dubey, Minxing Zheng
We introduce a powerful scan statistic and the corresponding test for detecting the presence and pinpointing the location of a change point within the distribution of a data sequen…
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
Xueqi Cheng, Minxing Zheng, Shixiang Zhu +1
Model extraction attacks aim to replicate the functionality of a black-box model through query access, threatening the intellectual property (IP) of machine-learning-as-a-service (…
Generative Conformal Prediction with Vectorized Non-Conformity Scores
Minxing Zheng, Shixiang Zhu
Conformal prediction (CP) provides model-agnostic uncertainty quantification with guaranteed coverage, but conventional methods often produce overly conservative uncertainty sets,…