Anthony Man-Cho So
Orcid: 0000-0003-2588-7851
According to our database1,
Anthony Man-Cho So
authored at least 160 papers
between 2005 and 2024.
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Bibliography
2024
A Survey of Advances in Optimization Methods for Wireless Communication System Design.
CoRR, 2024
2023
Comput. Networks, September, 2023
IEEE Trans. Signal Process., 2023
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals.
IEEE Trans. Signal Inf. Process. over Networks, 2023
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis.
SIAM J. Optim., 2023
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity.
CoRR, 2023
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder.
CoRR, 2023
Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms.
CoRR, 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Maximum Flow Routing Strategy With Dynamic Link Allocation for Space Information Networks Under Transceiver Constraints.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Signal Process., 2022
Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements.
IEEE Trans. Signal Process., 2022
Int. Trans. Oper. Res., 2022
CoRR, 2022
CoRR, 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions.
Proceedings of the International Conference on Machine Learning, 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks.
IEEE Trans. Signal Process., 2021
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning.
IEEE Trans. Signal Process., 2021
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods.
SIAM J. Optim., 2021
IEEE Internet Things J., 2021
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method.
CoRR, 2021
CoRR, 2021
Quartic Perturbation-based Outage-constrained Robust Design in Two-hop One-way Relay Networks.
CoRR, 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors].
IEEE Signal Process. Mag., 2020
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions.
IEEE Signal Process. Mag., 2020
A Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model.
IEEE Signal Process. Lett., 2020
SIAM J. Optim., 2020
An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department.
Int. J. Medical Informatics, 2020
A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group.
CoRR, 2020
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model.
Proceedings of the 37th International Conference on Machine Learning, 2020
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Dynamic Regret Bound for Moving Target Tracking Based on Online Time-of-Arrival Measurements.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels.
IEEE Trans. Signal Process., 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
Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods.
Math. Program., 2019
CoRR, 2019
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019
Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive Miso Downlink.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Mixed-Integer Semidefinite Relaxation of Joint Admission Control and Beamforming: An SOC-Based Outer Approximation Approach with Provable Guarantees.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Geolocation of Unknown Emitters Using Tdoa of Path Rays Through the Ionosphere by Multiple Coordinated Distant Receivers.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Distributionally Robust Collaborative Beamforming in D2D Relay Networks With Interference Constraints.
IEEE Trans. Wirel. Commun., 2017
Semidefinite Relaxation and Approximation Analysis of a Beamformed Alamouti Scheme for Relay Beamforming Networks.
IEEE Trans. Signal Process., 2017
Unraveling the Rank-One Solution Mystery of Robust MISO Downlink Transmit Optimization: A Verifiable Sufficient Condition via a New Duality Result.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization.
SIAM J. Optim., 2017
Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity.
Optim. Methods Softw., 2017
Math. Program., 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
LDPC code design for Gaussian multiple-access channels using dynamic EXIT chart analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Local strong convexity of maximum-likelihood TDOA-Based source localization and its algorithmic implications.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
A Stochastic Beamformed Amplify-and-Forward Scheme in a Multigroup Multicast MIMO Relay Network With Per-Antenna Power Constraints.
IEEE Trans. Wirel. Commun., 2016
Robust Convex Approximation Methods for TDOA-Based Localization Under NLOS Conditions.
IEEE Trans. Signal Process., 2016
IEEE Signal Process. Lett., 2016
Found. Trends Optim., 2016
Some Proof Derivations and Further Simulation Results for "Semidefinite Relaxation and Approximation Analysis of a Beamformed Alamouti Scheme for Relay Beamforming Networks".
CoRR, 2016
Proceedings of the Paradigms in Cryptology - Mycrypt 2016. Malicious and Exploratory Cryptology, 2016
Proceedings of the 19th ACM International Conference on Modeling, 2016
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods.
Proceedings of the 33nd International Conference on Machine Learning, 2016
A semidefinite relaxation approach to the geolocation of two unknown co-channel emitters by a cluster of formation-flying satellites using both TDOA and FDOA measurements.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A polynomial optimization approach for robust beamforming design in a device-to-device two-hop one-way relay network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Robust Relay Beamforming in Device-to-Device Networks with Energy Harvesting Constraints.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Rank-Two Beamforming and Stochastic Beamforming for MISO Physical-Layer Multicasting with Finite-Alphabet Inputs.
IEEE Signal Process. Lett., 2015
Stochastic amplify-and-forward schemes for multigroup multicast transmission in a distributed relay network.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015
\(\ell_{1, p}\)-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods.
Proceedings of the 32nd International Conference on Machine Learning, 2015
A beamformed alamouti amplify-and-forward scheme in multigroup multicast cloud-relay networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization.
IEEE Trans. Signal Process., 2014
IEEE Signal Process. Lett., 2014
Hardness and Approximation Results for <i>L<sub>p</sub></i>-Ball Constrained Homogeneous Polynomial Optimization Problems.
Math. Oper. Res., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Robust beamforming in two-way relay networks: Quartically perturbed chance constrained formulation and tractable approximation.
Proceedings of the IEEE International Conference on Acoustics, 2014
Distributionally robust chance-constrained transmit beamforming for multiuser MISO downlink.
Proceedings of the IEEE International Conference on Acoustics, 2014
Robust artificial noise-aided transmit optimization for achieving secrecy and energy harvesting.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding.
IEEE Trans. Signal Process., 2013
IEEE J. Sel. Areas Commun., 2013
Achievable Rate Derivations and Further Simulation Results for "Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding".
CoRR, 2013
Non-Asymptotic Convergence Analysis of Inexact Gradient Methods for Machine Learning Without Strong Convexity.
CoRR, 2013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Beyond convex relaxation: A polynomial-time non-convex optimization approach to network localization.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Multi-group multicast beamforming in cognitive radio networks via rank-two transmit beamformed Alamouti space-time coding.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Linear Matrix Inequalities with Stochastically Dependent Perturbations and Applications to Chance-Constrained Semidefinite Optimization.
SIAM J. Optim., 2012
A Perturbation Inequality for the Schatten-$p$ Quasi-Norm and Its Applications to Low-Rank Matrix Recovery
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Rank-two transmit beamformed Alamouti space-time coding for physical-layer multicasting.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Moment inequalities for sums of random matrices and their applications in optimization.
Math. Program., 2011
Deterministic approximation algorithms for sphere constrained homogeneous polynomial optimization problems.
Math. Program., 2011
Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming.
IEEE J. Sel. Areas Commun., 2011
Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach.
Proceedings of the IEEE International Conference on Acoustics, 2011
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent.
Proceedings of the IEEE International Conference on Acoustics, 2011
Safe convex approximation to outage-based MISO secrecy rate optimization under imperfect CSI and with artificial noise.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Trans. Signal Process., 2010
IEEE Signal Process. Mag., 2010
SIAM J. Optim., 2010
Probabilistic Analysis of the Semidefinite Relaxation Detector in Digital Communications.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010
Universal Rigidity: Towards Accurate and Efficient Localization of Wireless Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Probabilistic analysis of SDR detectors for MIMO systems.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010
2009
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009
Math. Oper. Res., 2009
Improved approximation bound for quadratic optimization problems with orthogonality constraints.
Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
2007
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007
On Analyzing Semidefinite Programming Relaxations of Complex Quadratic Optimization Problems.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007
A semidefinite programming approach to the graph realization problem : theory, applications and extensions.
PhD thesis, 2007
On approximating complex quadratic optimization problems via semidefinite programming relaxations.
Math. Program., 2007
Math. Program., 2007
Proceedings of the Internet and Network Economics, Third International Workshop, 2007
Proceedings of the Internet and Network Economics, Third International Workshop, 2007
2006
A semidefinite programming approach to tensegrity theory and realizability of graphs.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006
2005
Proceedings of the Internet and Network Economics, First International Workshop, 2005
Proceedings of the IEEE Wireless Communications and Networking Conference, 2005