Wong, Ting-Kam Leonard

1. Scalable Gradients for Stochastic Differential Equations
   2020/01/05 by Li, Xuechen, Wong, Ting-Kam Leonard, Chen, Ricky T. Q. +1 · 27 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
2. Bregman-Wasserstein divergence: geometry and applications
   2023/02/12 by Kainth, Amanjit Singh, Cale Rankin, Ting‐Kam Leonard Wong +2 · 2 citations
   Mathematics · #Geometric Analysis and Curvature Flows
3. JKO schemes with general transport costs
   2024/02/27 by Rankin, Cale, Wong, Ting-Kam Leonard · 1 citation
   #35K57 (Primary) 58J35 #82C31 (Secondary) #Analysis of PDEs (math.AP) #FOS: Mathematics #Probability (math.PR)
4. On the Wasserstein alignment problem
   2025/03/10 by Pal, Soumik, Sen, Bodhisattva, Wong, Ting-Kam Leonard · 2 citations
   #49Q22 #90C05 (Secondary) #90C25 #90C46 (Primary) #FOS: Mathematics #Optimization and Control (math.OC) #Probability (math.PR)
5. Adapted optimal transport between Gaussian processes in discrete time
   2024/04/09 by Gunasingam, Madhu, Wong, Ting-Kam Leonard · 1 citation
   #49Q22 #60B10 (Secondary) #60G15 (Primary) #FOS: Mathematics #Probability (math.PR)