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Dive into the research topics where Jason Dean Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 4 Active
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Collaborative Research:CIF: Medium: MoDL: Toward a Mathematical Foundation of Deep Reinforcement Learning
NSF - National Science Foundation
10/1/22 → 9/30/26
Project: Research project
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CAREER: Towards a Theory of Deep Learning
NSF - National Science Foundation
6/1/22 → 5/31/27
Project: Research project
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CIF: Medium: Collaborative Research: Theory of Optimization Geometry and Algorithms for Neural Networks
NSF - National Science Foundation
10/15/19 → 9/30/23
Project: Research project
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COMPETITIVE MULTI-AGENT REINFORCEMENT LEARNING WITH SELF-SUPERVISED REPRESENTATION
Su, D. J., Lee, J. D., Mulvey, J. M. & Poor, H. V., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4098-4102 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis
Chen, X., Lee, J. D., Li, H. & Yang, Y., 2021, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Huang, B., Huang, K., Kakade, S. M., Lee, J. D., Lei, Q., Wang, R. & Yang, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 8968-8983 16 p. (Advances in Neural Information Processing Systems; vol. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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How Fine-Tuning Allows for Effective Meta-Learning
Chua, K., Lei, Q. & Lee, J. D., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 8871-8884 14 p. (Advances in Neural Information Processing Systems; vol. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Label Noise SGD Provably Prefers Flat Global Minimizers
Damian, A., Ma, T. & Lee, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 27449-27461 13 p. (Advances in Neural Information Processing Systems; vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution