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2020 – today
- 2024
[j8]Mingyu Qi, Tianxi Li:
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso. J. Mach. Learn. Res. 25: 115:1-115:70 (2024)- [j7]Yujie Hui
, Miao Yu, Hao Qi, Yifan Gan, Tianxi Li, Yuke Li, Xueyuan Ren, Sixiang Ma, Xiaoyi Lu, Yang Wang:
On the Feasibility and Benefits of Extensive Evaluation. Proc. ACM Manag. Data 2(4): 201:1-201:24 (2024) - 2023
- [j6]Tianxi Li, Yun-Jhong Wu, Elizaveta Levina, Ji Zhu:
Link Prediction for Egocentrically Sampled Networks. J. Comput. Graph. Stat. 32(4): 1296-1319 (2023) - [j5]Tianxi Li, Elizaveta Levina, Ji Zhu:
Community models for networks observed through edge nominations. J. Mach. Learn. Res. 24: 282:1-282:36 (2023) - [c9]Ga Ming Angus Chan, Tianxi Li:
Fitting low-rank models on egocentrically sampled partial networks. AISTATS 2023: 10635-10649 - [i8]Ga Ming Angus Chan, Tianxi Li:
Fitting Low-rank Models on Egocentrically Sampled Partial Networks. CoRR abs/2303.11230 (2023) - 2022
- [j4]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): 1439-1452 (2022) - [j3]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): 5537 (2022) - [c8]Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu:
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. NeurIPS 2022 - [i7]Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu:
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. CoRR abs/2206.01293 (2022) - [i6]Mingyu Qi, Tianxi Li:
The non-overlapping statistical approximation to overlapping group lasso. CoRR abs/2211.09221 (2022) - 2021
- [c7]Quinlan Dawkins, Tianxi Li, Haifeng Xu:
Diffusion Source Identification on Networks with Statistical Confidence. ICML 2021: 2500-2509 - [c6]Shashank Gugnani, Tianxi Li, Xiaoyi Lu:
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. IPDPS 2021: 172-181 - [c5]Tianxi Li, Haiyang Shi, Xiaoyi Lu:
HatRPC: hint-accelerated thrift RPC over RDMA. SC 2021: 36 - [i5]Ruizhong Miao, Tianxi Li:
Informative core identification in complex networks. CoRR abs/2101.06388 (2021) - [i4]Tianxi Li, Can M. Le:
Network Estimation by Mixing: Adaptivity and More. CoRR abs/2106.02803 (2021) - [i3]Quinlan Dawkins, Tianxi Li, Haifeng Xu:
Diffusion Source Identification on Networks with Statistical Confidence. CoRR abs/2106.04800 (2021) - 2020
- [j2]Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu:
High-dimensional Gaussian graphical models on network-linked data. J. Mach. Learn. Res. 21: 74:1-74:45 (2020) - [c4]Tianxi Li, Dipti Shankar, Shashank Gugnani, Xiaoyi Lu:
RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM. SC 2020: 52
2010 – 2019
- 2019
- [i2]Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu:
High-dimensional Gaussian graphical model for network-linked data. CoRR abs/1907.02443 (2019) - 2017
- [c3]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. NIPS 2017: 1562-1572 - [i1]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. CoRR abs/1709.01674 (2017) - 2014
- [j1]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): 141-157 (2014) - [c2]Alex Deng, Tianxi Li, Yu Guo:
Statistical inference in two-stage online controlled experiments with treatment selection and validation. WWW 2014: 609-618 - 2012
- [c1]Tianxi Li, Branislav Kveton, Yu Wu, Ashwin Kashyap:
Incorporating Metadata into Dynamic Topic Analysis. BMA 2012: 34-43
Coauthor Index
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