Graph Structural Attack by Spectral Distance. - Lu Lin; Ethan Blaser; Hongning Wang (CoRR, 2021)

Graph Structural Attack by Perturbing Spectral Distance. - Lu Lin 001; Ethan Blaser; Hongning Wang (KDD, 2022)

Graph Embedding with Hierarchical Attentive Membership. - Lu Lin 001; Ethan Blaser; Hongning Wang (WSDM, 2022)

Federated Linear Contextual Bandits with Heterogeneous Clients. - Ethan Blaser; Chuanhao Li; Hongning Wang (AISTATS, 2024)

Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning. - Jiuqi Wang; Ethan Blaser; Hadi Daneshmand; Shangtong Zhang (CoRR, 2024)

Almost Sure Convergence of Average Reward Temporal Difference Learning. - Ethan Blaser; Shangtong Zhang (CoRR, 2024)

Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning. - Jiuqi Wang; Ethan Blaser; Hadi Daneshmand; Shangtong Zhang (ICLR, 2025)

A Survey of In-Context Reinforcement Learning. - Amir Moeini; Jiuqi Wang; Jacob Beck; Ethan Blaser; Shimon Whiteson; Rohan Chandra; Shangtong Zhang (CoRR, 2025)