16 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
Byzantine-tolerant distributed learning of finite mixture models under partial corruptions
Yimei Zhang, Jiahua Chen, Xiaozhou Wang +2
Finite mixture models characterize heterogeneous populations and are increasingly fitted to distributed data using split-and-conquer procedures that aggregate local mixture estimat…
On Stopping Rules and Spatial Adaptation for CART
Zineng Xu, Yuchao Cai, Yan Shuo Tan
The popular CART algorithm for regression trees combines a greedy splitting rule with a stopping rule, but while the splitting rule has been well studied, the statistical role of s…
PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks
Yan Shuo Tan, Kenyon Ng, Ruizhe Deng +3
Thompson sampling is a widely used strategy for contextual bandits: at each round, it samples a reward function from a Bayesian posterior and acts greedily under that sample. Prior…
On the Statistical Optimality of Optimal Decision Trees
Zineng Xu, Subhro Ghosh, Yan Shuo Tan
While globally optimal empirical risk minimization (ERM) decision trees have become computationally feasible and empirically successful, rigorous theoretical guarantees for their s…
Human-AI Co-design for Clinical Prediction Models
Jean Feng, Avni Kothari, Patrick Vossler +6
Developing safe, effective, and practically useful clinical prediction models (CPMs) traditionally requires iterative collaboration between clinical experts, data scientists, and i…