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All publications by Nan Ding
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On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding and Dale Schuurmans
Advances in Neural Information Processing Systems 28, 2015


Bayesian Sampling Using Stochastic Gradient Thermostats
Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel and Hartmut Neven
Advances in Neural Information Processing Systems 27, 2014


Robust Classification with Adiabatic Quantum Optimization
Vasil Denchev, Nan Ding, Hartmut Neven and S.v.n. Vishwanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling
Changyou Chen, Nan Ding and Wray Buntine
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


t-divergence Based Approximate Inference
Nan Ding, Yuan Qi and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 24, 2011


t-logistic regression
Nan Ding and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Nonparametric Bayesian Matrix Factorization by Power-EP
Nan Ding, Yuan (. Qi, Rongjing Xiang, Ian Molloy and Ninghui Li
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010