Tianxi Li

27 papers A* 3A 4Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science.
CoRR
An Luo, Jin Du, Xun Xian, Robert Specht, Fangqiao Tian, Ganghua Wang, Xuan Bi, Charles Fleming, Ashish Kundu, Jayanth Srinivasa, Mingyi Hong, Rui Zhang, Tianxi Li, Galin Jones, Jie Ding
2025 J jnl
GRAND: Graph Release with Assured Node Differential Privacy.
CoRR
Suqing Liu, Xuan Bi, Tianxi Li
2024 J jnl
On the Feasibility and Benefits of Extensive Evaluation.
Proc. ACM Manag. Data
Yujie Hui, Miao Yu, Hao Qi, Yifan Gan, Tianxi Li, Yuke Li, Xueyuan Ren, Sixiang Ma, Xiaoyi Lu, Yang Wang
2024 J jnl
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso.
J. Mach. Learn. Res.
Mingyu Qi, Tianxi Li
2023 J jnl
Community models for networks observed through edge nominations.
J. Mach. Learn. Res.
Tianxi Li, Elizaveta Levina, Ji Zhu
2023 J jnl
Fitting Low-rank Models on Egocentrically Sampled Partial Networks.
CoRR
Ga Ming Angus Chan, Tianxi Li
2023 A conf
Fitting low-rank models on egocentrically sampled partial networks.
AISTATS
Ga Ming Angus Chan, Tianxi Li
2023 J jnl
Link Prediction for Egocentrically Sampled Networks.
J. Comput. Graph. Stat.
Tianxi Li, Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
2022 J jnl
A Study of Database Performance Sensitivity to Experiment Settings.
Proc. VLDB Endow.
Yang Wang, Miao Yu, Yujie Hui, Fang Zhou, Yuyang Huang, Rui Zhu, Xueyuan Ren, Tianxi Li, Xiaoyi Lu
2022 A* conf
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards.
NeurIPS
Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
2022 J jnl
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards.
CoRR
Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu
2022 J jnl
Refined Aboveground Biomass Estimation of Moso Bamboo Forest Using Culm Lengths Extracted from TLS Point Cloud.
Remote. Sens.
Rui Jiang, Jiayuan Lin, Tianxi Li
2022 J jnl
The non-overlapping statistical approximation to overlapping group lasso.
CoRR
Mingyu Qi, Tianxi Li
2021 A* conf
Diffusion Source Identification on Networks with Statistical Confidence.
ICML
Quinlan Dawkins, Tianxi Li, Haifeng Xu
2021 J jnl
Diffusion Source Identification on Networks with Statistical Confidence.
CoRR
Quinlan Dawkins, Tianxi Li, Haifeng Xu
2021 A conf
HatRPC: hint-accelerated thrift RPC over RDMA.
SC
Tianxi Li, Haiyang Shi, Xiaoyi Lu
2021 J jnl
Informative core identification in complex networks.
CoRR
Ruizhong Miao, Tianxi Li
2021 A conf
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics.
IPDPS
Shashank Gugnani, Tianxi Li, Xiaoyi Lu
2021 J jnl
Network Estimation by Mixing: Adaptivity and More.
CoRR
Tianxi Li, Can M. Le
2020 J jnl
High-dimensional Gaussian graphical models on network-linked data.
J. Mach. Learn. Res.
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
2020 A conf
RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM.
SC
Tianxi Li, Dipti Shankar, Shashank Gugnani, Xiaoyi Lu
2019 J jnl
High-dimensional Gaussian graphical model for network-linked data.
CoRR
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
2017 — conf
Probabilistic Rule Realization and Selection.
NIPS
Haizi Yu, Tianxi Li, Lav R. Varshney
2017 J jnl
Probabilistic Rule Realization and Selection.
CoRR
Haizi Yu, Tianxi Li, Lav R. Varshney
2014 J jnl
Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees.
Comput. Stat.
Tianxi Li, Chao Gao, Meng Xu, Bala Rajaratnam
2014 A* conf
Statistical inference in two-stage online controlled experiments with treatment selection and validation.
WWW
Alex Deng, Tianxi Li, Yu Guo
2012 — conf
Incorporating Metadata into Dynamic Topic Analysis.
BMA
Tianxi Li, Branislav Kveton, Yu Wu, Ashwin Kashyap