| Jun 27, 2026 | Our paper Distributionally robust risk evaluation with an isotonic constraint has been accepted to Information and Inference: A Journal of IMA. This paper offers an approach that utilizes side information (e.g. shape constraints) to balance the misspecification of sample reweighting and the over-pessimism of distributionally robust learning! |
| May 11, 2026 | New preprint adaptive discovery of effect modification in matched observational studies: a finite-sample valid procedure to identify covariate-interpretable subgroups with exact subgroup-level FDR control, robust to unmeasured confounding via sensitivity models and powered by multiple matched controls. |
| Sep 28, 2025 | multi-modal contrastive learning adapts to intrinsic dimensions has been accepted to NeurIPS 2025. - We present a theoretical analysis of CLIP, showing how temperature optimization enables adaptation to the intrinsic dimension of shared features in multi-modal data (poster).
- A more recent work proposes IndiSeek which learns modality-specific features that are independent of shared features.
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| Sep 17, 2025 | I’m honored to be awarded the IMS Lawrence D. Brown Ph.D. Award! |
| Apr 02, 2025 | Our paper Conformal Prediction: A Data Perspective has been accepted to ACM Computing Surveys. |
| Sep 26, 2024 | Our paper Conformal Alignment has been accepted to NeurIPS 2024! - This paper guarantees the safe and reliable deployment of foundation model outputs (poster).
- A more recent paper ACS on interactive conformal selection.
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| Jun 30, 2024 | I’m happy to be awarded the William Rainey Harper Dissertation Fellowship! |
| Dec 31, 2023 | Presented conformalized matrix completion at NeurIPS 2023 and ICSDS 2023 (poster). |