4 citations · 9 across the 12 of their papers we have counts for
12 papers
Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness
Hao An, Yibin Lou, Jiayi Guo +1
Large language models (LLMs) often exhibit hallucinations due to their inability to accurately perceive their own knowledge boundaries. Existing abstention fine-tuning methods typi…
Starting Off on the Wrong Foot: Pitfalls in Data Preparation
Jiayi Guo, Panyi Dong, Zhiyu Quan
When working with real-world insurance data, practitioners often encounter challenges during the data preparation stage that can undermine the statistical validity and reliability…
Reliable Selection of Heterogeneous Treatment Effect Estimators
Jiayi Guo, Zijun Gao
We study the problem of selecting the best heterogeneous treatment effect (HTE) estimator from a collection of candidates in settings where the treatment effect is fundamentally un…
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
Jiayi Guo, Haoxuan Li, Ye Tian +1
While significant progress has been made in heterogeneous treatment effect (HTE) estimation, the evaluation of HTE estimators remains underdeveloped. In this article, we propose a…
Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
Jiayi Guo, Zhiyu Quan, Linfeng Zhang
The lack of high-quality public cyber incident data limits empirical research and predictive modeling for cyber risk assessment. This challenge persists due to the reluctance of co…
Impact of Trip Distance Distribution Time Dependency and Aggregation Levels in Bathtub Models -- A Comparative Simulation Analysis
Jiayi Guo, Irene Martínez, Gonçalo Correia +1
Bathtub models are used to study urban traffic within a certain area. They do not require to take into account the detailed network topology. The emergence of different bathtub mod…
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan, Minglong Zhou, Jiayi Guo
Empirical risk minimization, a cornerstone in machine learning, is often hindered by the Optimizer's Curse stemming from discrepancies between the empirical and true data-generatin…
Distributionally Robust Optimization under Mean-Covariance Ambiguity Set and Half-Space Support for Bivariate Problems
Jiayi Guo, Hao Qiu, Zhen Wang +2
In this paper, we study a bivariate distributionally robust optimization problem with mean-covariance ambiguity set and half-space support. Under a conventional type of objective f…
A Unified Framework for Generalized Moment Problems: a Novel Primal-Dual Approach
Jiayi Guo, Simai He, Bo Jiang +1
Generalized moment problems optimize functional expectation over a class of distributions with generalized moment constraints, i.e., the function in the moment can be any measurabl…
Bounding probability of small deviation on sum of independent random variables: Combination of moment approach and Berry-Esseen theorem
Jiayi Guo, Simai He, Zi Ling +1
In the context of bounding probability of small deviation, there are limited general tools. However, such bounds have been widely applied in graph theory and inventory management.…
Rescaling nonsmooth optimization using BFGS and Shor updates
Jiayi Guo, Adrian S. Lewis
The BFGS quasi-Newton methodology, popular for smooth minimization, has also proved surprisingly effective in nonsmooth optimization. Through a variety of simple examples and compu…
BFGS convergence to nonsmooth minimizers of convex functions
Jiayi Guo, Adrian Lewis
The popular BFGS quasi-Newton minimization algorithm under reasonable conditions converges globally on smooth convex functions. This result was proved by Powell in 1976: we conside…