NIPS Proceedingsβ

Zhanxing Zhu

6 Papers

  • You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle (2019)
  • Bayesian Adversarial Learning (2018)
  • Reinforced Continual Learning (2018)
  • Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning (2018)
  • Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks (2017)
  • Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling (2015)