Recent Publications (2010-)

  • Changyou Chen, Nan Ding, Wray Buntine

    Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling

    International Conference on Machine Learning, (ICML) 2012. [PDF]

  • Vasil Denchev, Nan Ding, S.V.N. Vishwanathan, Hartmut Neven

    Robust Classification with Adiabatic Quantum Optimization

    International Conference on Machine Learning, (ICML) 2012. [PDF]

  • Nan Ding, S.V.N. Vishwanathan, Yuan Qi

    t-divergence Based Approximate Inference

    Advances in Neural Information Processing Systems, (NIPS) 2011. [PDF]

  • Nan Ding, S.V.N. Vishwanathan

    t-logistic Regression

    Advances in Neural Information Processing Systems, (NIPS) 2010. [PDF]

  • Nan Ding, Yuan Qi, Rongjing Xiang, Ian Molloy, Ninghui Li

    Nonparametric Bayesian Matrix Factorization by Power EP

    International Conference on Artificial Intelligence and Statistics, (AISTATS) 2010. [PDF]

  • Nan Ding, Zhijian Ou

    Variational Nonparametric Bayesian Hidden Markov Model

    International Conference on Acoustics, Speech, and Signal Processing, (ICASSP) 2010. [PDF]




    • Ph.D. Dissertation

  • Statistical Machine Learning in the T-Exponential Family of Distributions [PDF]

    Ph.D. Advisor: S.V.N. Vishwanathan

    Thesis Commitee: Jayanta Ghosh, Yuan Qi, David Gleich




    • Reports

  • Nan Ding, S.V.N. Vishwanathan, Manfred Warmuth, Vasil Denchev,

    t-logistic Regression [PDF]

  • Vasil Denchev, Nan Ding, S.V.N. Vishwanathan, Hartmut Neven

    Robust Classification with Adiabatic Quantum Optimization

    http://arxiv.org/abs/1205.1148 [PDF]

  • Changyou Chen, Wray Buntine, Nan Ding

    Theory of Dependent Hierarchical Normalized Random Measures

    http://arxiv.org/abs/1205.4159 [PDF]

  • Nan Ding, Lin Yuan (Co-first authors)

    Comparing Augmented Lagrangian Method and Alternating Direction Method of Multipliers in Thomson Problem

    CS 590 Computational Methods in Optimization (Instructor: David Gleich). Final Report. [PDF]




    • Patents

  • Nan Ding, Cedric Archambeau, Shengbo Guo

    Bayesian Regression for Count Data

    (Patent Under Preparation)




    • Earlier Publications (2006-2008)

  • Nan Ding, Shude Zhou, Zengqi Sun

    Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization

    Journal of Computer Science and Technology 23(1): 35-43, 2008.

  • Nan Ding, Shude Zhou

    Linkages Detection in Histogram-Based Estimation of Distribution Algorithm

    Linkage in Evolutionary Computation: 25-40, 2008.

  • Nan Ding, Shude Zhou, Ji Xu, Zengqi Sun

    A Bayesian View on the Polynomial Distribution Model in Estimation of Distribution Algorithms

    IEEE Congress on Evolutionary Computation, (CEC) 2008.

  • Nan Ding, Shude Zhou, Hao Zhang, Zengqi Sun

    Marginal Probability Distribution Estimation in Characteristic Space of Covariance-Matrix

    IEEE Congress on Evolutionary Computation, (CEC) 2008.

  • Nan Ding, Hao Zhang

    A Flexible Method to Approximate Marcum Q-function based on Geometric Way of Thinking

    International Symposium on Communications, Control and Signal Processing, (ISCCSP) 2008.

  • Nan Ding, Ji Xu, Shude Zhou, Zengqi Sun

    Reducing Computational Complexity of Estimating Multivariate Histogram-based Probabilistic Model

    IEEE Congress on Evolutionary Computation, (CEC) 2007.

  • Nan Ding, Shude Zhou, Zengqi Sun

    Optimizing Continuous Problems Using Estimation of Distribution Algorithm Based on Histogram Model

    Simulated Evolution and Learning, (SEAL) 2006.