1. Zhanxing Zhu*, Jingfeng Wu*, Bing Yu, Lei Wu and Jinwen Ma. The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Minima and Regularization Effects. 36th International Conference on Machine Learning. (ICML 2019)2. Tianyuan Zhang, Zhanxing Zhu#. Interpreting Adversarial Trained Convolutional Neural Networks. 36th International Conference on Machine Learning. (ICML 2019)3. Ju Xu, Zhanxing Zhu#. Reinforced Continual Learning. 32nd Annual Conference on Neural Information Processing Systems. (NeurIPS 2018)4. Nanyang Ye, Zhanxing Zhu#. Bayesian Adversarial Learning. 32nd Annual Conference on Neural Information Processing Systems. (NeurIPS 2018)5. Zhanxing Zhu*, Xiaocheng Shang*, Benedict Leimkuhler and Amos Storkey. Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling. 29th Annual Conference on Neural Information Processing Systems (NeuriPS 2015)
