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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.

  • 6 Similar Profiles
Gradient Descent Mathematics
Learning systems Engineering & Materials Science
Global Convergence Mathematics
Stochastic Gradient Mathematics
Tensor Decomposition Mathematics
Polynomials Engineering & Materials Science
Eigenvalues and eigenfunctions Engineering & Materials Science
Eigenvector Mathematics

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Research Output 2012 2019

  • 282 Citations
  • 8 h-Index
  • 8 Conference article
  • 5 Conference contribution
  • 2 Article
  • 1 Paper

Sampling can be faster than optimization

Jin, C., Oct 15 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 20881-20885 5 p.

Princeton University

Research output: Contribution to journalArticle

Open Access
Growth
Machine Learning

Is Q-learning provably efficient?

Jin, C., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 4863-4873 11 p.

Princeton University

Research output: Contribution to journalConference article

Reinforcement learning
Learning algorithms
Simulators

On the local minima of the empirical risk

Jin, C., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 4896-4905 10 p.

Princeton University

Research output: Contribution to journalConference article

Learning algorithms
Learning systems
Polynomials
Sampling

Stochastic cubic regularization for fast nonconvex optimization

Jin, C., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 2899-2908 10 p.

Research output: Contribution to journalConference article

Newton-Raphson method

Global convergence of non-convex gradient descent for computing matrix squareroot

Jin, C., Jan 1 2017.

Research output: Contribution to conferencePaper

Linear algebra
Gradient Descent
Global Convergence
Learning systems
Computing