14 citations · 17 across the 5 of their papers we have counts for
5 papers
Benchmarking In-context Experiential Learning Through Repeated Product Recommendations
Gilbert Yang, Yaqin Chen, Thomson Yen +1
To navigate ever-shifting real-world environments, agents must grapple with incomplete knowledge and adapt their strategies through experience. However, current evaluations of LLM-…
DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
Kyum Kim, Yaqing Chen, Paromita Dubey
Regression with non-Euclidean responses---e.g., probability distributions, networks, symmetric positive-definite matrices, and compositions---has become increasingly important in m…
DiPMInd: Distance Profile based Mutual Independence testing for random objects
Yaqing Chen, Paromita Dubey
This paper develops a novel unified framework for testing mutual independence among random objects residing in possibly different metric spaces. The framework generalizes existing…
Metric Statistics: Exploration and Inference for Random Objects With Distance Profiles
Paromita Dubey, Yaqing Chen, Hans-Georg Müller
This article provides an overview on the statistical modeling of complex data as increasingly encountered in modern data analysis. It is argued that such data can often be describe…
An Auto-tuning Framework for Autonomous Vehicles
Haoyang Fan, Zhongpu Xia, Changchun Liu +2
Many autonomous driving motion planners generate trajectories by optimizing a reward/cost functional. Designing and tuning a high-performance reward/cost functional for Level-4 aut…