Ting-Kam Leonard Wong

According to our database, Ting-Kam Leonard Wong authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Information Geometry for the Working Information Theorist.

Kumar Vijay Mishra, M. Ashok Kumar, Ting-Kam Leonard Wong

CoRR, 2023

2022

Tsallis and Rényi Deformations Linked via a New λ-Duality.

Ting-Kam Leonard Wong, Jun Zhang

IEEE Trans. Inf. Theory, 2022

Functional Portfolio Optimization in Stochastic Portfolio Theory.

Steven Campbell, Ting-Kam Leonard Wong

SIAM J. Financial Math., 2022

λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature.

Jun Zhang, Ting-Kam Leonard Wong

Entropy, 2022

2021

Time-Consistent Conditional Expectation Under Probability Distortion.

Jin Ma, Ting-Kam Leonard Wong, Jianfeng Zhang

Math. Oper. Res., 2021

Projections with Logarithmic Divergences.

Zhixu Tao, Ting-Kam Leonard Wong

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020

Scalable Gradients for Stochastic Differential Equations.

Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Logarithmic Divergences: Geometry and Interpretation of Curvature.

Ting-Kam Leonard Wong, Jiaowen Yang

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Scalable Gradients and Variational Inference for Stochastic Differential Equations.

Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2017

Logarithmic divergences from optimal transport and Rényi geometry.

Ting-Kam Leonard Wong

CoRR, 2017

2016

Exponentially concave functions and a new information geometry.

Soumik Pal, Ting-Kam Leonard Wong

CoRR, 2016