Ting-Kam Leonard Wong

17 papers A 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A mathematical study of the excess growth rate.
CoRR
Steven Campbell, Ting-Kam Leonard Wong
2025 J jnl
Bregman-Wasserstein Divergence: Geometry and Applications.
IEEE Trans. Inf. Theory
Amanjit Singh Kainth, Cale Rankin, Ting-Kam Leonard Wong
2025 J jnl
Efficient Convex PCA with Applications to Wasserstein GPCA and Ranked Data.
J. Comput. Graph. Stat.
Steven Campbell, Ting-Kam Leonard Wong
2025 — conf
Maximum Likelihood Estimation for the λ-Exponential Family.
GSI (1)
Xiwei Tian, Ting-Kam Leonard Wong, Jiaowen Yang, Jun Zhang
2023 J jnl
Information Geometry for the Working Information Theorist.
CoRR
Kumar Vijay Mishra, M. Ashok Kumar, Ting-Kam Leonard Wong
2022 J jnl
Functional Portfolio Optimization in Stochastic Portfolio Theory.
SIAM J. Financial Math.
Steven Campbell, Ting-Kam Leonard Wong
2022 J jnl
Tsallis and Rényi Deformations Linked via a New λ-Duality.
IEEE Trans. Inf. Theory
Ting-Kam Leonard Wong, Jun Zhang
2022 J jnl
λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature.
Entropy
Jun Zhang, Ting-Kam Leonard Wong
2021 — conf
Projections with Logarithmic Divergences.
GSI
Zhixu Tao, Ting-Kam Leonard Wong
2021 J jnl
Time-Consistent Conditional Expectation Under Probability Distortion.
Math. Oper. Res.
Jin Ma, Ting-Kam Leonard Wong, Jianfeng Zhang
2021 J jnl
Tsallis and Rényi deformations linked via a new λ-duality.
CoRR
Ting-Kam Leonard Wong, Jun Zhang
2020 A conf
Scalable Gradients for Stochastic Differential Equations.
AISTATS
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
2020 J jnl
Scalable Gradients for Stochastic Differential Equations.
CoRR
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
2019 — conf
Logarithmic Divergences: Geometry and Interpretation of Curvature.
GSI
Ting-Kam Leonard Wong, Jiaowen Yang
2019 — conf
Scalable Gradients and Variational Inference for Stochastic Differential Equations.
AABI
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
2017 J jnl
Logarithmic divergences from optimal transport and Rényi geometry.
CoRR
Ting-Kam Leonard Wong
2016 J jnl
Exponentially concave functions and a new information geometry.
CoRR
Soumik Pal, Ting-Kam Leonard Wong