Research output per year
Research output per year
Fingerprint
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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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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Sampling can be faster than optimization
Ma, Y. A., Chen, Y., Jin, C., Flammarion, N. & Jordan, M. I., Oct 15 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 20881-20885 5 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Is Q-learning provably efficient?
Jin, C., Allen-Zhu, Z., Bubeck, S. & Jordan, M. I., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 4863-4873 11 p.Research output: Contribution to journal › Conference article › peer-review
34 Scopus citations -
On the local minima of the empirical risk
Jin, C., Ge, R., Liu, L. T. & Jordan, M. I., Jan 1 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 4896-4905 10 p.Research output: Contribution to journal › Conference article › peer-review
8 Scopus citations -
Stochastic cubic regularization for fast nonconvex optimization
Tripuraneni, N., Stern, M., Jin, C., Regier, J. & Jordan, M. I., Jan 1 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 2899-2908 10 p.Research output: Contribution to journal › Conference article › peer-review
12 Scopus citations