8 citations · 8 across the 4 of their papers we have counts for
4 papers
Autocorrelated Optimize-via-Estimate: Predict-then-Optimize versus Finite-sample Optimal
Zichun Wang, Gar Goei Loke, Ruiting Zuo
Models that directly optimize for out-of-sample performance in the finite-sample regime have emerged as a promising alternative to traditional estimate-then-optimize approaches in…
"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments
Ziyi Zhang, Zhen Sun, Zongmin Zhang +6
The visually impaired population faces significant challenges in daily activities. While prior works employ vision language models for assistance, most focus on static content and…
Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization
Gar Goei Loke, Taozeng Zhu, Ruiting Zuo
We examine a stochastic formulation for data-driven optimization wherein the decision-maker is not privy to the true distribution, but has knowledge that it lies in some hypothesis…
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
Haohan Zhang, Fengrui Hua, Chengjin Xu +3
The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies. LLMs excel in analyzing sentiments a…