Richard Y. Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Low Rank Matrices

State Estimation

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Jialun Zhang, Richard Y. Zhang, Hong-Ming Chiu
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent. AISTATS (2024)
Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming. ICLR (2024)
Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang
Fast and Minimax Optimal Estimation of Low-Rank Matrices via Non-Convex Gradient Descent. CoRR (2023)
Hong-Ming Chiu, Richard Y. Zhang
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations. ICML (2023)
Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming. CoRR (2023)
Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. J. Mach. Learn. Res. 24 (2023)
Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Simple Alternating Minimization Provably Solves Complete Dictionary Learning. CoRR (2022)
Richard Y. Zhang
Improved Global Guarantees for the Nonconvex Burer-Monteiro Factorization via Rank Overparameterization. CoRR (2022)
Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion. CoRR (2022)
Hong-Ming Chiu, Richard Y. Zhang
Overcoming the Convex Relaxation Barrier for Neural Network Verification via Nonconvex Low-Rank Semidefinite Relaxations. CoRR (2022)
Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. CoRR (2022)
Jialun Zhang, Hong-Ming Chiu, Richard Y. Zhang
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion. NeurIPS (2022)
Sangwoo Park, Richard Y. Zhang, Javad Lavaei, Ross Baldick
Uniqueness of Power Flow Solutions Using Monotonicity and Network Topology. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
Richard Y. Zhang, Javad Lavaei
Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion. Math. Program. 188 (1) (2021)
Richard Y. Zhang
Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime. CoRR (2021)
Jialun Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization. NeurIPS (2021)
Richard Y. Zhang
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples. CoRR (2020)
Jialun Zhang, Richard Y. Zhang
How many samples is a good initial point worth in Low-rank Matrix Recovery? NeurIPS (2020)
Richard Y. Zhang
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples. NeurIPS (2020)
Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya
Large-Scale Traffic Signal Offset Optimization. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi
Conic optimization for control, energy systems, and machine learning: Applications and algorithms. Annu. Rev. Control. 47 (2019)
Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. J. Mach. Learn. Res. 20 (2019)
Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya
Large-Scale Traffic Signal Offset Optimization. CoRR (2019)
Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. IEEE Access 7 (2019)
Richard Y. Zhang, Javad Lavaei, Ross Baldick
Spurious Local Minima in Power System State Estimation. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. CoRR (2019)
Sangwoo Park, Richard Y. Zhang, Javad Lavaei, Ross Baldick
Monotonicity Between Phase Angles and Power Flow and Its Implications for the Uniqueness of Solutions. HICSS (2019)
Richard Y. Zhang, Javad Lavaei, Ross Baldick
Spurious Critical Points in Power System State Estimation. HICSS (2018)
Richard Y. Zhang, Javad Lavaei
Sparse Semidefinite Programs with Near-Linear Time Complexity. CDC (2018)
Cédric Josz, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Somayeh Sojoudi
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization. NeurIPS (2018)
Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion. ICML (2018)
Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS (2018)
Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
Sparse Inverse Covariance Estimation for Chordal Structures. ECC (2018)
Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? CoRR (2018)
Richard Y. Zhang, Jacob K. White
GMRES-Accelerated ADMM for Quadratic Objectives. SIAM J. Optim. 28 (4) (2018)
Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya
Conic Approximation with Provable Guarantee for Traffic Signal Offset Optimization. CDC (2018)
Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi
Conic Optimization Theory: Convexification Techniques and Numerical Algorithms. ACC (2018)
Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. CoRR (2018)
Richard Y. Zhang, Javad Lavaei
Efficient Algorithm for Large-and-Sparse LMI Feasibility Problems. CDC (2018)
Richard Y. Zhang, Javad Lavaei
Modified interior-point method for large-and-sparse low-rank semidefinite programs. CDC (2017)
Richard Y. Zhang, Jacob K. White
Toeplitz-Plus-Hankel Matrix Recovery for Green's Function Computations on General Substrates. Proc. IEEE 103 (11) (2015)