My Publications

You can also browse my Google Scholar profile. “*” means alphabetical order or equal contribution.

Preprint

• Jiyuan Tan*, Vasilis Syrgkanis
  Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle.
  Preprint, Paper

• Ayush Sawarni, Jiyuan Tan, Vasilis Syrgkanis
  CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation.
  Preprint, Paper

• Dongdong Ge, Tianhao Liu, Jinsong Liu, Jiyuan Tan, Yinyu Ye (alphabetical order)
  SOLNP+: A Derivative-Free Solver for Constrained Nonlinear Optimization.
  Under review, Paper

Conference publications

• Jiyuan Tan*, Jose Blanchet, Vasilis Syrgkanis
  Estimation of Treatment Effects in Extreme and Unobserved Data.
  Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), poster, Paper

• Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
  Consistency of Neural Causal Partial Identification.
  Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), poster, Paper

• Jiyuan Tan*, Chenyu Xue*, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye
  A Homogenization Approach for Gradient-Dominated Stochastic Optimization.
  40th Conference on Uncertainty in Artificial Intelligence (UAI), poster, Paper

• Han Zhong*, Wei Xiong*, Jiyuan Tan*, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
  Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.
  International Conference on Machine Learning (ICML), 2022. Also presented at the ICLR 2022 Workshop on Gamification and Multiagent Solutions (poster spotlight). Paper