Research output per year
Research output per year
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Dive into the research topics where Chi Jin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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On Nonconvex Optimization for Machine Learning
Jin, C., Netrapalli, P., Ge, R., Kakade, S. M. & Jordan, M. I., Mar 2021, In: Journal of the ACM. 68, 2, 3418526.Research output: Contribution to journal › Article › peer-review
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Foreword
Guo, Y., Chen, B., Jin, C. & Li, K., Jan 1 2020, Deep Reinforcement Learning: Fundamentals, Research and Applications. Springer Singapore, p. v-viResearch output: Chapter in Book/Report/Conference proceeding › Foreword/postscript
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Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Jin, C., Jin, T., Luo, H., Sra, S. & Yu, T., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 4810-4819 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-7).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On gradient descent ascent for nonconvex-concave minimax problems
Lin, T., Jin, C. & Jordan, M. I., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 6039-6049 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-8).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Provable self-play algorithms for competitive reinforcement learning
Bai, Y. & Jin, C., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 528-537 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution