18 citations · 57 across the 5 of their papers we have counts for
5 papers · 1 filter
Minimax Optimal Rates for Regression on Manifolds and Distributions
Rong Tang, Yun Yang
Distribution regression seeks to estimate the conditional distribution of a multivariate response given a continuous covariate. This approach offers a more complete characterizatio…
Scalable Statistical Inference in Non-parametric Least Squares
Meimei Liu, Zuofeng Shang, Yun Yang
Stochastic approximation (SA) is a powerful and scalable computational method for iteratively estimating the solution of optimization problems in the presence of randomness, partic…
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood
Yun Yang, Debdeep Pati
In this article, we investigate large sample properties of model selection procedures in a general Bayesian framework when a closed form expression of the marginal likelihood funct…
Bayesian fractional posteriors
Anirban Bhattacharya, Debdeep Pati, Yun Yang
We consider the fractional posterior distribution that is obtained by updating a prior distribution via Bayes theorem with a fractional likelihood function, a usual likelihood func…
Minimax Optimal Bayesian Aggregation
Yun Yang, David B. Dunson
It is generally believed that ensemble approaches, which combine multiple algorithms or models, can outperform any single algorithm at machine learning tasks, such as prediction. I…