NIPS Proceedingsβ

Hanjun Dai

8 Papers

  • Exponential Family Estimation via Adversarial Dynamics Embedding (2019)
  • Learning Transferable Graph Exploration (2019)
  • Retrosynthesis Prediction with Conditional Graph Logic Network (2019)
  • Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification (2018)
  • Coupled Variational Bayes via Optimization Embedding (2018)
  • Learning Loop Invariants for Program Verification (2018)
  • Learning Combinatorial Optimization Algorithms over Graphs (2017)
  • M-Statistic for Kernel Change-Point Detection (2015)