Siu A. Chin

Probabilistic & Bayesian Methods · 2002–2009

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it; #1,062 of 1,525 by trust here, #1,198 by citations
• Statistics and Probability — 7 citations into it; #7,888 of 12,932 by trust here, #7,508 by citations
• Artificial Intelligence — 6 citations into it; #21,656 of 35,345 by trust here, #25,809 by citations

Whom Siu A. Chin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Shun-ichi Amari
3. Gareth O. Roberts
4. Tim Hesterberg
5. Yann LeCun
6. Christophe Andrieu
7. Ernst Hairer
8. Christopher C. Holmes

Who trusts Siu A. Chin overall

1. Radford M. Neal

Papers from Siu A. Chin's perspective

Ordered by how strongly the researchers Siu A. Chin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Natural Gradient Works Efficiently in Learning
2. Optimal scaling of discrete approximations to Langevin diffusions
3. Monte Carlo Strategies in Scientific Computing
4. A tutorial on adaptive MCMC
5. Probabilistic Inference Using Markov Chain Monte Carlo Methods
6. Pattern Recognition and Neural Networks
7. Scaling limits for the transient phase of local Metropolis–Hastings algorithms
8. Differential-geometrical methods in statistics
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Riemannian Manifold Hamiltonian Monte Carlo (2009) — 40 citations
• Gradient symplectic algorithms for solving the Schrödinger equation with time-dependent potentials (2002) — 134 citations