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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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Collaborations and top research areas from the last five years
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Collaborative Research:CIF: Medium: MoDL: Toward a Mathematical Foundation of Deep Reinforcement Learning
Lee, J. D. (PI)
NSF - National Science Foundation
10/1/22 → 9/30/26
Project: Research project
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CAREER: Towards a Theory of Deep Learning
Lee, J. D. (PI)
NSF - National Science Foundation
6/1/22 → 5/31/27
Project: Research project
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Foundations of Deep Learning: SGD and Beyond
Lee, J. D. (PI)
7/20/21 → 7/19/25
Project: Research project
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CIF: Medium: Collaborative Research: Theory of Optimization Geometry and Algorithms for Neural Networks
Lee, J. D. (PI)
NSF - National Science Foundation
10/15/19 → 9/30/24
Project: Research project
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DICHOTOMY OF EARLY AND LATE PHASE IMPLICIT BIASES CAN PROVABLY INDUCE GROKKING
Lyu, K., Jin, J., Li, Z., Du, S. S., Lee, J. D. & Hu, W., 2024.Research output: Contribution to conference › Paper › peer-review
2 Scopus citations -
HORIZON-FREE REGRET FOR LINEAR MARKOV DECISION PROCESSES
Zhang, Z., Lee, J. D., Chen, Y. & Du, S. S., 2024.Research output: Contribution to conference › Paper › peer-review
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LEARNING HIERARCHICAL POLYNOMIALS WITH THREE-LAYER NEURAL NETWORKS
Wang, Z., Nichani, E. & Lee, J. D., 2024.Research output: Contribution to conference › Paper › peer-review
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Neural Temporal Difference and Q Learning Provably Converge to Global Optima
Cai, Q., Yang, Z., Lee, J. D. & Wang, Z., Feb 2024, In: Mathematics of Operations Research. 49, 1, p. 619-651 33 p.Research output: Contribution to journal › Article › peer-review
Open Access -
PROVABLE OFFLINE PREFERENCE-BASED REINFORCEMENT LEARNING
Zhan, W., Uehara, M., Kallus, N., Lee, J. D. & Sun, W., 2024.Research output: Contribution to conference › Paper › peer-review