Yu Xiang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Invariant Representations

Target Variable

Multiple Access

Top Venues

IEEE Trans. Signal Inf. Process. over Networks

IEEE J. Sel. Areas Inf. Theory

Publications

Austin Goddard, Kang Du, Yu Xiang
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. CoRR (2024)
Mehrdad Pournaderi, Yu Xiang
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms. CoRR (2024)
Kang Du, Yu Xiang
Causal Inference From Slowly Varying Nonstationary Processes. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Mehrdad Pournaderi, Yu Xiang
Training-Conditional Coverage Bounds under Covariate Shift. CoRR (2024)
Kang Du, Yu Xiang
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning. CoRR (2024)
Kang Du, Yu Xiang
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning. CLeaR (2024)
Kang Du, Yu Xiang
Generalized Invariant Matching Property Via Lasso. ICASSP (2023)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. CoRR (2023)
Mehrdad Pournaderi, Yu Xiang
Communication-Efficient Distribution-Free Inference Over Networks. CoRR (2023)
Mehrdad Pournaderi, Yu Xiang
Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks. ISIT (2023)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. ACSSC (2023)
Kang Du, Yu Xiang
Generalized Invariant Matching Property via LASSO. CoRR (2023)
Mehrdad Pournaderi, Yu Xiang
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Kang Du, Yu Xiang
Learning Invariant Representations Under General Interventions on the Response. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Kang Du, Yu Xiang, Ilya Soloveychik
Identifying Direct Causes Using Intervened Target Variable. ACSSC (2023)
Mehrdad Pournaderi, Yu Xiang
Communication-Efficient Distribution-Free Inference Over Networks. ACSSC (2023)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Lower Bounds on the Error Probability for Invariant Causal Prediction. MLSP (2022)
Mehrdad Pournaderi, Yu Xiang
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach. CoRR (2022)