6 papers
Beyond Prediction: 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…
Deciding When to Decide: Testing Operational Suboptimality Under Distributional Shift
Minxing Zheng, Holly Wiberg, Shixiang Zhu
Deployed decisions are often optimized once and retained because updates impose operational, regulatory, or switching costs. As operating conditions change, when should such decisi…
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…
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,…
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…