Publications

(2019). Partially Linear Additive Gaussian Graphical Models. Proceedings of the 36th International Conference on Machine Learning.

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(2019). Learning Influence-Receptivity Network Structure with Guarantee. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics.

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(2019). Direct Estimation of Differential Functional Graphical Models. Advances in Neural Information Processing Systems 32.

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(2019). Convergent Policy Optimization for Safe Reinforcement Learning. Advances in Neural Information Processing Systems 32.

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(2018). Provable Gaussian Embedding with One Observation. Advances in Neural Information Processing Systems 31.

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(2017). Efficient Distributed Learning with Sparsity. Proceedings of the 34th International Conference on Machine Learning.

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(2017). Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics.

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(2017). An Influence-Receptivity Model for Topic based Information Cascades. 2017 IEEE International Conference on Data Mining.

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(2016). Distributed Multi-Task Learning. Proceedings of the 19th International Conference on Artificial Intelligence and Statistics.

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(2016). Statistical Inference for Pairwise Graphical Models Using Score Matching. Advances in Neural Information Processing Systems 29.

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(2016). Inference for High-dimensional Exponential Family Graphical Models. Proceedings of the 19th International Conference on Artificial Intelligence and Statistics.

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(2015). Learning structured densities via infinite dimensional exponential families. Advances in Neural Information Processing Systems 28.

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(2013). Markov Network Estimation From Multi-attribute Data. Proceedings of the 30th International Conference on Machine Learning.

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(2013). Feature Selection in High-Dimensional Classification. Proceedings of the 30th International Conference on Machine Learning.

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(2012). Variance Function Estimation in High-dimensions. Proceedings of the 29th International Conference on Machine Learning.

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(2012). Consistent Covariance Selection From Data With Missing Values. Proceedings of the 29th International Conference on Machine Learning.

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(2012). Marginal Regression For Multitask Learning. Proceedings of the 15th International Conference on Artificial Intelligence and Statistics.

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(2011). Statistical and computational tradeoffs in biclustering. NIPS 2011 Workshop on Computational Trade-offs in Statistical Learning.

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(2011). On Time Varying Undirected Graphs. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics.

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(2006). Comparison of collocation extraction measures for document indexing. 28th International Conference on Information Technology Interfaces, 2006..

DOI

(2005). Computer-Aided document Indexing Systems. Journal of Computing and Information Technology.