104 citations · 140 across the 3 of their papers we have counts for
5 papers
Counterfactual Online Conformal Prediction Under Adaptive Logging
Xinyu Qiao, Yichen Lin, Kaihong Ji +2
Online conformal prediction can fail when predictions shape actions and actions determine which outcomes enter calibration. Standard adaptive methods may retain marginal coverage w…
From Weak Data to Strong Policy: Q-Targets Enable Provable In-Context Reinforcement Learning
Yichen Lin, Xuyuan Xiong, Xue Wang +3
Existing in-context reinforcement learning methods mainly pretrain Transformers with supervised behavior-prediction objectives. This enables task inference from context, but makes…
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing Ma, Xue wang +5
Recent studies have shown that deep learning models such as RNNs and Transformers have brought significant performance gains for long-term forecasting of time series because they e…
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data
Xue Wang, Mike Mingcheng Wei, Tao Yao
We propose a minimax concave penalized multi-armed bandit algorithm under generalized linear model (G-MCP-Bandit) for a decision-maker facing high-dimensional data in an online lea…
Global solutions to folded concave penalized nonconvex learning
Hongcheng Liu, Tao Yao, Runze Li
This paper is concerned with solving nonconvex learning problems with folded concave penalty. Despite that their global solutions entail desirable statistical properties, they lack…