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stat.ML2026
Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
Hanli Xu, Fengxiang He, Sarat Moka
Global objectives, such as KL divergence and ELBO, are widely used in Bayesian inference for measuring distributional discrepancy. This paper studies their local-mass behaviour tha…
stat.ML2025
A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection
Sarat Moka, Matias Quiroz, Vali Asimit +1
Portfolio optimization involves selecting asset weights to minimize a risk-reward objective, such as the portfolio variance in the classical minimum-variance framework. Sparse port…