| Oct 23, 2024 | In this fall, I have given talks on NeuralSVD at MERL, KAIST, KIAS, and Flatiron Institute. |
| Sep 25, 2024 | Our paper on demystifying the sucess of evidential deep learning methods got accepted at NeurIPS 2024! |
| Sep 06, 2024 | I have posted a substantially revised version of the arXiv preprint on minimax optimal learning with fixed-k-nearest neighbors, now including new results on density estimation. |
| Aug 21, 2024 | One paper on gambling-based confidence sequences has been accepted at IEEE Transactions on Information Theory! |
| Jun 17, 2024 | One paper on new techniques for better score estimation accepted at ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling. |
| May 01, 2024 | Two papers, NeuralSVD and time-uniform confidence sets from universal gambling (Spotlight), accepted at ICML 2024! |
| Apr 09, 2024 | One paper on learning with fairness under uncertainty accepted at ISIT 2024! |
| Feb 23, 2024 | I gave a talk on our recent work NeuralSVD at ITA workshop. |
| Feb 10, 2024 | Three preprints about (1) how to perform SVD using neural networks, (2) how to construct time-uniform confidence sets for bounded vector-valued processes using gambling, and (3) rethinking the success of evidential deep learning have been posted on arXiv. Please reach out if you have any comments or questions on any of these. |
| Dec 14, 2023 | I will present a poster on decomposing linear operators with neural networks at ML4PS Workshop @NeurIPS 2023. The extended abstract can be found here. |
| Nov 03, 2023 | I presented my recent work on decomposing linear operators with neural networks at MLTea talk. |