5 papers
Conditional Evaluation of Language Models with Cheap Auxiliary Signals
Zhi Zhang, Lingfeng Lyu, Yue Kang +1
Aggregate accuracy hides where models succeed and fail. Estimating conditional performance profiles from gold labels alone is expensive, while cheap auxiliary signals such as LLM-j…
Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
Yue Kang, Mingshuo Liu, Bongsoo Yi +4
Generalized linear bandits have been extensively studied due to their broad applicability in real-world online decision-making problems. However, these methods typically assume tha…
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks
Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Yik Lun Kei +2
This paper addresses the problems of conditional variance estimation and confidence interval construction in nonparametric regression using dense networks with the Rectified Linear…
Dense ReLU Neural Networks for Temporal-spatial Model
Carlos Misael Madrid Padilla, Zhi Zhang, Xiaokai Luo +2
In this paper, we focus on fully connected deep neural networks utilizing the Rectified Linear Unit (ReLU) activation function for nonparametric estimation. We derive non-asymptoti…
Quantile Additive Trend Filtering
Zhi Zhang, Kyle Ritscher, Oscar Hernan Madrid Padilla
This paper investigates risk bounds for quantile additive trend filtering, a method gaining increasing significance in the realms of additive trend filtering and quantile regressio…