Publications
Conference Papers
Robust Sparse Regression with Non-Isotropic Designs. With Chih-Hung Liu. All authors contributed equally. In the Conference on Neural Information Processing Systems, NeurIPS 2024.
Robust Mixture Learning when Outliers Overwhelm Small Groups. With Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Amartya Sanyal, David Steurer, Fanny Yang. In the Conference on Neural Information Processing Systems, NeurIPS 2024.
Robust Mean Estimation Without Moments for Symmetric Distributions. With David Steurer and Stefan Tiegel. All authors contributed equally. In the Conference on Neural Information Processing Systems, NeurIPS 2023.
Sparse PCA Beyond Covariance Thresholding. In the Conference on Learning Theory, COLT 2023.
Higher Degree Sum-of-Squares Relaxations Robust Against Oblivious Outliers. With Tommaso d’Orsi, Rajai Nasser and David Steurer. All authors contributed equally. In the Symposium on Discrete Algorithms, SODA 2023.
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers. With Tommaso d’Orsi, Chih-Hung Liu, Rajai Nasser, David Steurer and Stefan Tiegel. All authors contributed equally. In the Conference on Neural Information Processing Systems, NeurIPS 2021.
Consistent Regression when Oblivious Outliers Overwhelm. With Tommaso d’Orsi and David Steurer. All authors contributed equally. In the International Conference on Machine Learning, ICML 2021.
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates. With Tommaso d’Orsi, Pravesh K. Kothari and David Steurer. All authors contributed equally. In the Symposium on Foundations of Computer Science, FOCS 2020.
Randomness Deficiencies. In the Conference on Computability in Europe, CiE 2017.
Conference Reviewer Roles
I served as a reviewer at NeurIPS , ICLR, ICML, as a subreviewer at STOC, and as a Program Committee member at ALT and AAAI.