^* indicates equal contribution. Order determined by tossing a fair coin

• Almost Sure Convergence of Average Reward Temporal Difference Learning.
  Ethan Blaser, Shangtong Zhang.
  arXiv:2409.19546, 2024.

• Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning.
  Jiuqi Wang^*, Ethan Blaser^*, Hadi Daneshmand, Shangtong Zhang.
  arXiv:2405.13861, 2024.
  Spotlight Award @ 2024 ICML Workshop for In-Context Learning
  Contributed talk @ the RLC Workshop on Training Agents with Foundation Models, 2024.

• Federated Linear Contextual Bandits with Heterogeneous Clients
  Ethan Blaser, Chuanhao Li, Hongning Wang.
  Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:631-639, 2024.

• Graph Structural Attack by Perturbing Spectral Distance.
  Lu Lin, Ethan Blaser, Hongning Wang.
  Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.

• Graph Embedding with Hierarchical Attentive Membership.
  Lu Lin, Ethan Blaser, Hongning Wang.
  Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022.

• Utilizing Small Telescopes Operated by Citizen Scientists for Exoplanet Follow-Up.
  Robert Zellem, Kyle A. Pearson, Ethan Blaser, et al.
  Publications of the Astronomical Society of the Pacific (PASP) 132 (1011), 2020.