10 citations · 31 across the 22 of their papers we have counts for
8 papers · 1 filter
Towards a Statistical Understanding of Mixture-of-Experts
Siyuan He, Bokai Yang, Jie Hu +2
Mixture-of-experts (MoE) architectures increase model capacity by combining a collection of expert predictors through input-dependent routing, while often activating only a small s…
Local spectral clustering for heterogeneous clustering structures
Yuanxing Chen, Qingzhao Zhang, Yuhong Yang
Classical clustering methods typically assume that all informative features support a single latent partition of the observations. This assumption can be overly restrictive for mod…
Sign Hacking with Auxiliary Variable Exploration in the Age of Big Data
Jie Hu, Yuhong Yang
In linear regression, the signs of coefficients convey the direction of covariate effects and are central to empirical interpretation. In high-dimensional settings, however, the ab…
Multi-Armed Bandits with Arriving Arms: Sequential Screening, Dynamic Regret, and Sublinear Guarantees
Deqi Zheng, Xiaoyang Xu, Yuhong Yang
We study a stochastic multi-armed bandit problem in which the set of available arms expands over time. This setting arises in sequential experimentation when new actions or treatme…
Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
Chongguang Tao, Zheng Zhou, Yuhong Yang
Uncertainty quantification for individual treatment effects (ITEs) is a daunting challenge in causal inference. Motivated by recent advances in conformal prediction, several works…
Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
Zheng Zhou, Xiangfei Zhang, Chongguang Tao +1
Conformal prediction provides rigorous distribution-free finite-sample guarantees for marginal coverage under the assumption of exchangeability, but may exhibit systematic undercov…
Cross-Validation in Bipartite Networks
Bokai Yang, Yuanxing Chen, Yuhong Yang
Bipartite networks, which encode interactions between two distinct types of entities, arise widely in applications and exhibit inherent asymmetry across node sets. Despite a growin…
On damage of interpolation to adversarial robustness in regression
Jingfu Peng, Yuhong Yang
Deep neural networks (DNNs) typically involve a large number of parameters and are trained to achieve zero or near-zero training error. Despite such interpolation, they often exhib…