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Anthony M. So, Ph.D.

Affiliations: 
2007 Stanford University, Palo Alto, CA 
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"Anthony So"
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Yinyu Ye grad student 2007 Stanford
 (A semidefinite programming approach to the graph realization problem: Theory, applications and extensions.)

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Publications

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Li X, Zhu Z, So AM, et al. (2020) Nonconvex Robust Low-Rank Matrix Recovery Siam Journal On Optimization. 30: 660-686
Chen S, Ma S, So AM, et al. (2020) Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold Siam Journal On Optimization. 30: 210-239
So AM, Jain P, Ma W, et al. (2020) Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors] Ieee Signal Processing Magazine. 37: 15-17
Li J, So AM, Ma W. (2020) Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions Ieee Signal Processing Magazine. 37: 18-31
Huang S, Pun Y, So AM, et al. (2020) A Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model Ieee Signal Processing Letters. 27: 1335-1339
Yue M, Zhou Z, So AM. (2019) On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition Siam Journal On Optimization. 29: 904-932
Shao M, Li Q, Ma W, et al. (2019) A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels Ieee Transactions On Signal Processing. 67: 5309-5324
Lai RWF, Cheung K, Chow SSM, et al. (2019) Another Look at Anonymous Communication Ieee Transactions On Dependable and Secure Computing. 16: 731-742
Ni SX, Yue M, Cheung K, et al. (2019) Phase Retrieval via Sensor Network Localization Journal of the Operations Research Society of China. 7: 127-146
Liu H, So AM, Wu W. (2019) Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods Mathematical Programming. 178: 215-262
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