Direct Loss Minimization for Sparse Gaussian Processes. - Yadi Wei; Rishit Sheth; Roni Khardon (AISTATS, 2021)

On the Performance of Direct Loss Minimization for Bayesian Neural Networks. - Yadi Wei; Roni Khardon (CoRR, 2022)

MacWilliams-Like Identities for Certain Vectorial Bent Functions. - Jiaxin Wang 001; Yadi Wei; Zhe Sun; Fang-Wei Fu 001 (ISIT, 2023)

Direct Uncertainty Quantification. - Yadi Wei; Roni Khardon (CoRR, 2023)

Linear codes with few weights from non-weakly regular plateaued functions. - Yadi Wei; Jiaxin Wang 001; Fang-Wei Fu 001 (CoRR, 2023)

Constructions of linear codes with two or three weights from vectorial dual-bent functions. - Jiaxin Wang 001; Zexia Shi; Yadi Wei; Fang-Wei Fu 001 (Discret. Math., 2023)

Bent Partitions, Vectorial Dual-Bent Functions and Partial Difference Sets. - Jiaxin Wang 001; Fang-Wei Fu 001; Yadi Wei (IEEE Trans. Inf. Theory, 2023)

Self-Orthogonal Codes from Vectorial Dual-Bent Functions. - Jiaxin Wang 001; Yadi Wei; Fang-Wei Fu 001; Juan Li (CoRR, 2024)

Variational Inference on the Final-Layer Output of Neural Networks. - Yadi Wei; Roni Khardon (Trans. Mach. Learn. Res., 2024)

A Further Study of Vectorial Dual-Bent Functions. - Jiaxin Wang 001; Fang-Wei Fu 001; Yadi Wei; Jing Yang 035 (IEEE Trans. Inf. Theory, 2024)

Association schemes arising from non-weakly regular bent functions. - Yadi Wei; Jiaxin Wang 001; Fang-Wei Fu 001 (Des. Codes Cryptogr., 2024)

Self-orthogonal codes from plateaued functions and their applications in quantum codes and LCD codes. - Yadi Wei; Jiaxin Wang 001; Fang-Wei Fu 001 (CoRR, 2025)

Stability-based Generalization Bounds for Variational Inference. - Yadi Wei; Roni Khardon (CoRR, 2025)