NIPS Proceedingsβ

Jun Zhu

9 Papers

  • Conditional Generative Moment-Matching Networks (2016)
  • Kernel Bayesian Inference with Posterior Regularization (2016)
  • Stochastic Gradient Geodesic MCMC Methods (2016)
  • Max-Margin Deep Generative Models (2015)
  • Max-Margin Majority Voting for Learning from Crowds (2015)
  • Distributed Bayesian Posterior Sampling via Moment Sharing (2014)
  • Robust Bayesian Max-Margin Clustering (2014)
  • Spectral Methods for Supervised Topic Models (2014)
  • Scalable Inference for Logistic-Normal Topic Models (2013)