Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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8 results for Tian Gao

Integer Programming for Causal Structure Learning in the Presence of Latent Variables
- - Rui Chen
  - Sanjeeb Dash
  - et al.
- 2021
- ICML 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
- - Yue Yu
  - Tian Gao
  - et al.
- 2021
- ICML 2021
Type-augmented Relation Prediction in Knowledge Graphs
- - Zijun Cui
  - Pavan Kapanipathi
  - et al.
- 2021
- AAAI 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- - Dennis Wei
  - Tian Gao
  - et al.
- 2020
- NeurIPS 2020
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2021
- AAAI 2021
Structure Discovery in (Causal) Proximal Graphical Event Models
- - Debarun Bhattacharjya
  - Karthikeyan Shanmugam
  - et al.
- 2020
- NeurIPS 2020
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
- - Yue Yu
  - Ning Liu
  - et al.
- 2024
- NeurIPS 2024
Characterization of Overlap in Observational Studies
- - Michael Oberst
  - Fredrik D. Johansson
  - et al.
- 2020
- AISTATS 2020