Chao Gao
Chao Gao
I am a 5th-year PhD student at Yale Statistics. My advisor is Harry Zhou. My research lies in nonparametric and high-dimensional statistics, network analysis, Bayes theory and robust statistics.
Personal Information
address: 24 Hillhouse Ave, New Haven CT 06511
email: firstname.surname@yale.edu
Contact
Jan 2015 - May 2015 Visiting Student at Leiden University (Prof. Aad van der Vaart)
May 2014 - Aug 2014 Intern at Microsoft Research Redmond
May 2013 - Aug 2013 Intern at Microsoft Research Redmond
Experience
- Network Analysis -
Achieving Optimal Misclassification Proportion in Stochastic Block Model [arXiv]
C.Gao, Z. Ma, A. Zhang and H. Zhou
Rate-Optimal Graphon Estimation [arXiv]
C. Gao, Y. Lu and H. Zhou
Annals of Statistics, 2015
Optimal Estimation and Completion of Matrices with Biclustering Structures [arXiv]
C.Gao, Y. Lu, Z. Ma and H. Zhou
- Robust Statistics -
Robust Covariance Matrix Estimation via Matrix Depth [arXiv]
M.Chen, C. Gao and Z. Ren
A General Decision Theory for Huber's $\epsilon$-Contamination Model [arXiv]
M.Chen, C. Gao and Z. Ren
- Bayes Theory -
A General Framework for Bayes Structured Linear Models [arXiv]
C.Gao, A. van der Vaart and H. Zhou
Rate-optimal Posterior Contraction for Sparse PCA [arXiv]
C. Gao and H. Zhou
Annals of Statistics, 2015
Rate Exact Bayesian Adaptation with Modified Block Priors [arXiv]
C. Gao and H. Zhou
Annals of Statistics, to appear
Bernstein-von Mises Theorems for Functionals of the Covariance Matrix [arXiv]
C. Gao and H. Zhou
Electronic Journal of Statistics, to appear
Posterior Contraction Rates of Phylogenetic Indian Buffet Processes [arXiv]
M. Chen, C. Gao and H. Zhao
Bayesian Analysis, to appear
- High Dimensional Statistics -
Sparse CCA: Adaptive Estimation and Computational Barriers [arXiv]
C. Gao, Z. Ma and H. Zhou
Minimax Estimation in Sparse Canonical Correlation Analysis [arXiv]
C. Gao, Z. Ma, Z. Ren and H. Zhou
Annals of Statistics, 2015
Sparse CCA via Precision Adjusted Iterative Thresholding [arXiv]
M. Chen, C. Gao, Z. Ren and H. Zhou
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels [arXiv]
C. Gao and D. Zhou
- Others -
Detecting the Impact Area of BP Deepwater Horizon Oil Discharge: An Analysis by Time Varying Coefficient Logistic Models and Boosted Trees [springer]
T.Li, C. Gao, M. Xu and B. Rajaratnam
Computational Statistics, 2014 (Winner of 2011 ASA Data Expo)
Papers
Invited Talks
A General Decision Theory for Huber's Robust Framework
10th ICSA International Conference, Shanghai, China, December, 2016
A General Famework for Bayes Structured Linear Models
ISBA 2016 World Meeting, Sardinia, Italy, June 2016
Robust Covariance Matrix Estimation
Meeting in Mathematical Statistics 2015 -- Recent advances in nonparametric and high-dimensional inference, villa Clythia, France, December 2015
A General Framework for Bayes Structured Linear Models
8th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK, December 2015
Network Analysis: Community Detection and Graphon Estimation
Seminar at Department of Applied Mathematics, Yale University, November 2015
Network Analysis: Community Detection and Graphon Estimation
Seminar at Department of Statistics, University of Pittsburgh, November 2015
A Bayes framework for Complex Linear Models
Seminar at Department of Statistics, Yale University, October 2015
Sparse CCA: Minimax Rates and Adaptive Estimation
Joint 24th ICSA Applied Statistics Symposium and 13th Graybill Conference, Fort Collins, Colorado, June 2015
Some Interesting Facts about Bayesian Inference
PhD colloquium at Mathematisch Instituut, Leiden University, the Netherlands, April 2015
Network Analysis: Graphon Estimation and Community Detection
Séminaire de Statistique, CREST, Paris, France, March 2015
Graphon Estimation: Minimax Rates and Posterior Contraction
Statistics for Structures Seminar, University of Amsterdam and Leiden University, the Netherlands, March 2015
Sparse CCA: Statistical and Computational Limits
Seminar at Centre for Mathematical Sciences, University of Cambridge, UK, March 2015