Nan Ding
Nan Ding
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TitleCited byYear
Characterizing quantum supremacy in near-term devices
S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ...
Nature Physics 14 (6), 595, 2018
3112018
Scalable quantum simulation of molecular energies
PJJ O’Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ...
Physical Review X 6 (3), 031007, 2016
3052016
Large-scale object classification using label relation graphs
J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ...
European conference on computer vision, 48-64, 2014
2702014
What is the computational value of finite-range tunneling?
VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush, V Smelyanskiy, ...
Physical Review X 6 (3), 031015, 2016
2562016
Bayesian sampling using stochastic gradient thermostats
N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven
Advances in Neural Information Processing Systems, 3203-3211, 2014
1412014
On the convergence of stochastic gradient MCMC algorithms with high-order integrators
C Chen, N Ding, L Carin
Advances in Neural Information Processing Systems, 2278-2286, 2015
932015
THU and ICRC at TRECVID 2007.
J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, D Wang, X Liu, C Liu, ...
TRECVID, 2007
412007
Robust classification with adiabatic quantum optimization
VS Denchev, N Ding, SVN Vishwanathan, H Neven
International Conference on Machine Learning, 2012
362012
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
P Sharma, N Ding, S Goodman, R Soricut
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
342018
Histogram-based estimation of distribution algorithm: a competent method for continuous optimization
N Ding, SD Zhou, ZQ Sun
Journal of computer science and technology 23 (1), 35-43, 2008
292008
Dependent hierarchical normalized random measures for dynamic topic modeling
C Chen, N Ding, W Buntine
International Conference on Machine Learning, 2012
282012
Differential topic models
C Chen, W Buntine, N Ding, L Xie, L Du
Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 230-242, 2015
272015
Nonparametric Bayesian matrix factorization by Power-EP
N Ding, Y Qi, R Xiang, I Molloy, N Li
International Conference on Artificial Intelligence and Statistics, 169-176, 2010
242010
Variational nonparametric Bayesian hidden Markov model
N Ding, Z Ou
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
232010
Optimizing continuous problems using estimation of distribution algorithm based on histogram model
N Ding, S Zhou, Z Sun
Asia-Pacific Conference on Simulated Evolution and Learning, 545-552, 2006
162006
Probabilistic Label Relation Graphs with Ising Models
N Ding, J Deng, K Murphy, H Neven
International Conference on Computer Vision, ICCV 2015, 2015
152015
t-logistic regression
N Ding, SVN Vishwanathan
Advances in Neural Information Processing Systems, 514-522, 2010
142010
Stochastic gradient MCMC with stale gradients
C Chen, N Ding, C Li, Y Zhang, L Carin
Advances in Neural Information Processing Systems, 2937-2945, 2016
112016
Cold-Start Reinforcement Learning with Softmax Policy Gradient
N Ding, R Soricut
Advances in Neural Information Processing Systems, 2017, 2017
102017
STATISTICAL MACHINE LEARNING IN THE T-EXPONENTIAL FAMILY OF DISTRIBUTIONS
N Ding
Purdue University, 2013
102013
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Articles 1–20