Publications of Sifan Liu :chronological alphabetical combined bibtex listing:
Papers Published
- Liu, S; Panigrahi, S. "Selective Inference with Distributed Data." Journal of Machine Learning Research 26.12 (January, 2025): 1-44. [abs]
- Liu, S. "CONDITIONAL QUASI-MONTE CARLO WITH CONSTRAINED ACTIVE SUBSPACES." SIAM Journal on Scientific Computing 46.5 (October, 2024): A2999-A3021. [doi] [abs]
- Liu, S; Owen, AB. "PREINTEGRATION VIA ACTIVE SUBSPACE." SIAM Journal on Numerical Analysis 61.2 (January, 2023): 495-514. [doi] [abs]
- Liu, S. "Langevin Quasi-Monte Carlo." Advances in Neural Information Processing Systems 36 (January, 2023). [abs]
- Chen, S; Liu, S; Ma, Z. "GLOBAL AND INDIVIDUALIZED COMMUNITY DETECTION IN INHOMOGENEOUS MULTILAYER NETWORKS." Annals of Statistics 50.5 (October, 2022): 2664-2693. [doi] [abs]
- Cappello, L; Kim, J; Liu, S; Palacios, JA. "Statistical Challenges in Tracking the Evolution of SARS-CoV-2." Statistical Science 37.2 (May, 2022): 162-182. [doi] [abs]
- Yang, F; Liu, S; Dobriban, E; Woodruff, DP. "How to Reduce Dimension with PCA and Random Projections?." IEEE Transactions on Information Theory 67.12 (December, 2021): 8154-8189. [doi] [abs]
- Liu, S; Owen, AB. "Quasi-Monte Carlo quasi-Newton in variational bayes." Journal of Machine Learning Research 22 (January, 2021). [abs]
- Lacotte, J; Liu, S; Dobriban, E; Pilanci, M. "Optimal iterative sketching with the subsampled randomized hadamard transform." Advances in Neural Information Processing Systems 2020-December (January, 2020). [abs]
- Liu, S; Dobriban, E. "RIDGE REGRESSION: STRUCTURE, CROSS-VALIDATION, AND SKETCHING." 8th International Conference on Learning Representations Iclr 2020 (January, 2020). [abs]
- Dobriban, E; Liu, S. "Asymptotics for sketching in least squares." Advances in Neural Information Processing Systems 32 (January, 2019). [abs]