Tianxi Li

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 19

Top Topics

High Confidence

Statistical Inference

Top Venues

Proc. VLDB Endow.

Publications

Ga Ming Angus Chan, Tianxi Li
Fitting low-rank models on egocentrically sampled partial networks. AISTATS (2023)
Tianxi Li, Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
Link Prediction for Egocentrically Sampled Networks. J. Comput. Graph. Stat. 32 (4) (2023)
Angus Chan, Tianxi Li
Fitting Low-rank Models on Egocentrically Sampled Partial Networks. CoRR (2023)
Rui Jiang, Jiayuan Lin, Tianxi Li
Refined Aboveground Biomass Estimation of Moso Bamboo Forest Using Culm Lengths Extracted from TLS Point Cloud. Remote. Sens. 14 (21) (2022)
Yang Wang, Miao Yu, Yujie Hui, Fang Zhou, Yuyang Huang, Rui Zhu, Xueyuan Ren, Tianxi Li, Xiaoyi Lu
A Study of Database Performance Sensitivity to Experiment Settings. Proc. VLDB Endow. 15 (7) (2022)
Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. NeurIPS (2022)
Mingyu Qi, Tianxi Li
The non-overlapping statistical approximation to overlapping group lasso. CoRR (2022)
Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. CoRR (2022)
Tianxi Li, Can M. Le
Network Estimation by Mixing: Adaptivity and More. CoRR (2021)
Shashank Gugnani, Tianxi Li, Xiaoyi Lu
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. IPDPS (2021)
Quinlan Dawkins, Tianxi Li, Haifeng Xu
Diffusion Source Identification on Networks with Statistical Confidence. ICML (2021)
Ruizhong Miao, Tianxi Li
Informative core identification in complex networks. CoRR (2021)
Tianxi Li, Haiyang Shi, Xiaoyi Lu
HatRPC: hint-accelerated thrift RPC over RDMA. SC (2021)
Quinlan Dawkins, Tianxi Li, Haifeng Xu
Diffusion Source Identification on Networks with Statistical Confidence. CoRR (2021)
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
High-dimensional Gaussian graphical models on network-linked data. J. Mach. Learn. Res. 21 (2020)
Tianxi Li, Dipti Shankar, Shashank Gugnani, Xiaoyi Lu
RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM. SC (2020)
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
High-dimensional Gaussian graphical model for network-linked data. CoRR (2019)
Haizi Yu, Tianxi Li, Lav R. Varshney
Probabilistic Rule Realization and Selection. NIPS (2017)
Haizi Yu, Tianxi Li, Lav R. Varshney
Probabilistic Rule Realization and Selection. CoRR (2017)
Tianxi Li, Chao Gao, Meng Xu, Bala Rajaratnam
Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees. Comput. Stat. 29 (1) (2014)
Alex Deng, Tianxi Li, Yu Guo
Statistical inference in two-stage online controlled experiments with treatment selection and validation. WWW (2014)
Tianxi Li, Branislav Kveton, Yu Wu, Ashwin Kashyap
Incorporating Metadata into Dynamic Topic Analysis. BMA (2012)