news
| Sep 28, 2025 | Now accepted to NeurIPS 2025: multi-modal contrastive learning adapts to intrinsic dimensions. We present a theoretical analysis of CLIP, showing how temperature optimization enables adaptation to the intrinsic dimension of shared features in multi-modal data. 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. |
| Jul 10, 2024 | A new preprint iso-DRL on how to utilize side information (e.g. shape constraints) to balance the misspecification of sample reweighting and the over-pessimism of distributionally robust learning! As an application, iso-DRL suggests a robust approach to calibrate estimated density ratios in reweighting approaches. |
| 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. |