104 citations · 140 across the 3 of their papers we have counts for
4 papers · 1 filter
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…