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Dive into the research topics where Shiwei Lan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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BAYESIAN REGULARIZATION OF LATENT REPRESENTATION
Obite, C. P., Chang, Z., Wu, K. & Lan, S., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 89882-89900 19 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Q-Exponential Processes
Chang, Z., Obite, C. P., Zhou, S. & Lan, S., 2025, In: Proceedings of Machine Learning Research. 289Research output: Contribution to journal › Conference article › peer-review
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Spatiotemporal Besov Priors for Bayesian Inverse Problems
Lan, S., Pasha, M., Li, S. & Shen, W., 2025, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
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Scaling Up Bayesian Neural Networks with Neural Networks
Moslemi, Z., Meng, Y., Lan, S. & Shahbaba, B., 2024, In: Transactions on Machine Learning Research. 2024Research output: Contribution to journal › Article › peer-review
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Bayesian Learning via Q-Exponential Process
Li, S., O'Connor, M. & Lan, S., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Projects
- 1 Finished
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Unifying Information- and Optimization-theoretic approaches for modeling and training Generative Adversarial Networks
Nedich, A. (CoI), Lan, S. (CoI), Sankar, L. (PI) & Pedrielli, G. (CoI)
National Science Foundation (NSF)
10/1/21 → 9/30/25
Project: Research project