Man-Chung Yue

Orcid: 0000-0002-7992-9490

According to our database1, Man-Chung Yue authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Short-step methods are not strongly polynomial-time.
Math. Program., September, 2024

Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems.
IEEE Trans. Signal Process., 2024

Small Errors in Random Zeroth-Order Optimization Are Imaginary.
SIAM J. Optim., 2024

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set.
CoRR, 2024

2023
Coverage-Validity-Aware Algorithmic Recourse.
CoRR, 2023

2022
On linear optimization over Wasserstein balls.
Math. Program., 2022

Robust Bayesian recourse.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Approximate Secular Equations for the Cubic Regularization Subproblem.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Fair Principal Components via Geodesic Descents.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Universal Barrier Is <i>n</i>-Self-Concordant.
Math. Oper. Res., 2021

An accelerated first-order method with complexity analysis for solving cubic regularization subproblems.
Comput. Optim. Appl., 2021

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group.
CoRR, 2020

Acceleration of Short Read Alignment with Runtime Reconfiguration.
Proceedings of the International Conference on Field-Programmable Technology, 2020

An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition.
SIAM J. Optim., 2019

A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo-Tseng error bound property.
Math. Program., 2019

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization.
SIAM J. Optim., 2017

A discrete first-order method for large-scale MIMO detection with provable guarantees.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Robust Design for MISO Physical-Layer Multicasting Over Line-of-Sight Channels.
IEEE Signal Process. Lett., 2016

2012
A Perturbation Inequality for the Schatten-$p$ Quasi-Norm and Its Applications to Low-Rank Matrix Recovery
CoRR, 2012


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