NIPS Proceedingsβ

Bo Dai

14 Papers

  • DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections (2019)
  • Energy-Inspired Models: Learning with Sampler-Induced Distributions (2019)
  • Exponential Family Estimation via Adversarial Dynamics Embedding (2019)
  • Meta Architecture Search (2019)
  • Retrosynthesis Prediction with Conditional Graph Logic Network (2019)
  • A Neural Compositional Paradigm for Image Captioning (2018)
  • Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification (2018)
  • Coupled Variational Bayes via Optimization Embedding (2018)
  • Learning towards Minimum Hyperspherical Energy (2018)
  • Predictive Approximate Bayesian Computation via Saddle Points (2018)
  • Contrastive Learning for Image Captioning (2017)
  • Deep Hyperspherical Learning (2017)
  • Scalable Kernel Methods via Doubly Stochastic Gradients (2014)
  • Robust Low Rank Kernel Embeddings of Multivariate Distributions (2013)