Tianshi Chen

Statistical Learning Theory · with Ljung · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 16 citations into it
• Statistics and Probability — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Control and Systems Engineering — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Tianshi Chen trusts overall

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

1. Gianluigi Pillonetto
2. Christopher K. I. Williams
3. Grace Wahba
4. Giuseppe De Nicolao
5. Vladimir Naumovich Vapnik
6. Hirotugu Akaike
7. James O. Berger

Who trusts Tianshi Chen overall

1. Gianluigi Pillonetto
2. Francesco Dinuzzo

Papers from Tianshi Chen's perspective

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

1. Spline Models for Observational Data
2. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. Statistical learning theory
5. Kernel Methods for Pattern Analysis
6. Estimating the Dimension of a Model
7. Theory of Reproducing Kernels.
8. A new look at the statistical model identification
9. Smoothing noisy data with spline functions
10. On the mathematical foundations of learning

Their papers

• Kernel methods in system identification, machine learning and function estimation: A survey (2014) — 776 citations
• On the estimation of transfer functions, regularizations and Gaussian processes - Revisited (2012) — 464 citations