Ting-Kam Leonard Wong

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Constant Curvature

Information Geometry

Conditional Expectation

Kullback Leibler

Top Venues

IEEE Trans. Inf. Theory

Publications

Kumar Vijay Mishra, M. Ashok Kumar, Ting-Kam Leonard Wong
Information Geometry for the Working Information Theorist. CoRR (2023)
Ting-Kam Leonard Wong, Jun Zhang
Tsallis and Rényi Deformations Linked via a New λ-Duality. IEEE Trans. Inf. Theory 68 (8) (2022)
Steven Campbell, Ting-Kam Leonard Wong
Functional Portfolio Optimization in Stochastic Portfolio Theory. SIAM J. Financial Math. 13 (2) (2022)
Jun Zhang, Ting-Kam Leonard Wong
λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature. Entropy 24 (2) (2022)
Zhixu Tao, Ting-Kam Leonard Wong
Projections with Logarithmic Divergences. GSI (2021)
Ting-Kam Leonard Wong, Jun Zhang
Tsallis and Rényi deformations linked via a new λ-duality. CoRR (2021)
Jin Ma, Ting-Kam Leonard Wong, Jianfeng Zhang
Time-Consistent Conditional Expectation Under Probability Distortion. Math. Oper. Res. 46 (3) (2021)
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
Scalable Gradients for Stochastic Differential Equations. AISTATS (2020)
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
Scalable Gradients for Stochastic Differential Equations. CoRR (2020)
Ting-Kam Leonard Wong, Jiaowen Yang
Logarithmic Divergences: Geometry and Interpretation of Curvature. GSI (2019)
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Kristjanson Duvenaud
Scalable Gradients and Variational Inference for Stochastic Differential Equations. AABI (2019)
Ting-Kam Leonard Wong
Logarithmic divergences from optimal transport and Rényi geometry. CoRR (2017)
Soumik Pal, Ting-Kam Leonard Wong
Exponentially concave functions and a new information geometry. CoRR (2016)