fanny-yang (at) berkeley.edu |
Currently I am a PhD student at the EECS department of the UC Berkeley advised by Prof. Martin Wainwright. I'm interested in analyzing algorithms for problems in the intersection between statistics and optimization. Application-wise I'm interested in biomedical problems and machine learning. This summer I am working as an intern in the Deep Learning group at Amazon Web Services. Here is my public key. Education
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Publications
Early stopping for kernel boosting algorithms: A general analysis with
localized complexities
F. Yang*, Y. Wei*, M. Wainwright [*equal contribution]
To appear at Neural Information Processing Systems, NIPS 2017; selected for a Spotlight presentation
arXiv preprint arXiv:1707.01543, 2017
arXiv preprint arXiv:1707.01543, 2017
More powerful and flexible rules for online FDR control with memory and weights
A. Ramdas, F. Yang, M. Wainwright, M. Jordan
To appear at Neural Information Processing Systems, NIPS 2017; selected for a full Oral presentation
Presented at the Multiple Comparison Procedures Conference, Riverside, June 2017
Presented at the Multiple Comparison Procedures Conference, Riverside, June 2017
A framework for Multi-A(rmed)/B(andit) testing with online FDR control
F. Yang, A. Ramdas, K. Jamieson, M. Wainwright
To appear at Neural Information Processing Systems, NIPS 2017; selected for a Spotlight presentation
arXiv preprint arXiv:1706.05378, 2017
Presented during a talk at the Multiple Comparisons Procedures Conference, Riverside, June 2017
arXiv preprint arXiv:1706.05378, 2017
Presented during a talk at the Multiple Comparisons Procedures Conference, Riverside, June 2017
Statistical and Computational Guarantees for the Baum-Welch algorithm
F. Yang, S. Balakrishnan, M. Wainwright
To appear in Journal for Machine Learning Research
Presented during a talk at the 53th Allerton Conference, Illinois, September 2015
and the Non-convex optimization workshop at NIPS, Montreal, December 2015
and the Non-convex optimization workshop at NIPS, Montreal, December 2015
A Phase Retrieval Method for Signals in Modulation-Invariant Spaces
V. Pohl, C. Yapar, H. Boche, F. Yang
39th IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014
Phase Retrieval from low rate samples
V. Pohl, F. Yang, H. Boche
Sampl. Theory Signal Image Process., vol. 14, no. 1, pp. 71–99, 2015
Phaseless Signal Recovery in Infinite Dimensional Spaces using Structured Modulations
V. Pohl, F. Yang, H. Boche
Journal of Fourier Analysis and Applications, vol. 20, 2014
Phase Retrieval via Structured Modulations for Paley Wiener spaces
F. Yang, V. Pohl, H. Boche
10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, July 2013
Winner of Best Student Paper Award
Presented during a talk at the conference
Winner of Best Student Paper Award
Presented during a talk at the conference
Causal Reconstruction Kernels for Consistent Signal Recovery
V. Pohl, F. Yang, H. Boche
20th European Signal Processing Conf. (EUSIPCO), Bucharest, Romania, Aug. 2012
Theses
01/2013 - 06/2013: Master's thesis at Prof. Holger Boche's Lab, TUM
Master's Thesis Report on "Signal Reconstruction from Magnitude
Measurements in Infinite Dimensional Spaces"
4/2010 - 11/2010: Bachelors' Thesis at Prof. Franz Kärtner's Lab, MIT
Bachelors' Thesis Report on "Ultrafast Laser Pulses"
Talk on "Ultrafast Laser Pulses"
Bachelors' Thesis Report on "Ultrafast Laser Pulses"
Talk on "Ultrafast Laser Pulses"
