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2020 – today
- 2025
[c80]Lai Tian, Anthony Man-Cho So:
Testing Approximate Stationarity Concepts for Piecewise Affine Functions. SODA 2025: 2213-2224- 2024
- [j67]Yuen-Man Pun
, Anthony Man-Cho So:
Global strong convexity and characterization of critical points of time-of-arrival-based source localization. Comput. Geom. 119: 102077 (2024) - [j66]Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu:
Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks. IEEE J. Sel. Areas Commun. 42(11): 2987-2991 (2024) - [j65]Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu:
A Survey of Recent Advances in Optimization Methods for Wireless Communications. IEEE J. Sel. Areas Commun. 42(11): 2992-3031 (2024) - [j64]Lai Tian, Anthony Man-Cho So:
No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians. Math. Program. 208(1): 51-74 (2024) - [j63]Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang:
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. SIAM Rev. 66(2): 319-352 (2024) - [j62]Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen:
Riemannian Natural Gradient Methods. SIAM J. Sci. Comput. 46(1): 204- (2024) - [j61]Xiao Peng Li, Zhanglei Shi, Lei Huang, Anthony Man-Cho So, Hing Cheung So:
ROCS: Robust One-Bit Compressed Sensing With Application to Direction of Arrival. IEEE Trans. Signal Process. 72: 2407-2420 (2024) - [j60]Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So:
Extreme Point Pursuit - Part I: A Framework for Constant Modulus Optimization. IEEE Trans. Signal Process. 72: 4541-4556 (2024) - [j59]Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So:
Extreme Point Pursuit - Part II: Further Error Bound Analysis and Applications. IEEE Trans. Signal Process. 72: 4557-4572 (2024) - [c79]He Chen, Haochen Xu, Rujun Jiang, Anthony Man-Cho So:
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization. AISTATS 2024: 784-792 - [c78]Sijin Chen, Xiwei Cheng, Anthony Man-Cho So:
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method. AISTATS 2024: 2899-2907 - [c77]Meng Xu, Bo Jiang, Wenqiang Pu, Ya-Feng Liu, Anthony Man-Cho So:
An Efficient Alternating Riemannian/Projected Gradient Descent Ascent Algorithm for Fair Principal Component Analysis. ICASSP 2024: 7195-7199 - [c76]Shi-Yuk Fong, Anthony Man-Cho So:
An Efficient Optimization Framework for Learning General Signed Graphs From Smooth Signals. SAM 2024: 1-5 - [c75]Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So:
Decentralized Non-Smooth Optimization Over the Stiefel Manifold. SAM 2024: 1-5 - [i54]Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A. Jorswieck, Wei Yu:
A Survey of Advances in Optimization Methods for Wireless Communication System Design. CoRR abs/2401.12025 (2024) - [i53]He Chen, Jiajin Li, Anthony Man-Cho So:
Spurious Stationarity and Hardness Results for Mirror Descent. CoRR abs/2404.08073 (2024) - [i52]Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson:
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. CoRR abs/2406.08465 (2024) - [i51]Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So, Shisheng Cui, Jian Sun:
Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems. CoRR abs/2410.04761 (2024) - [i50]Chenyue Zhang, Shangyuan Liu, Hoi-To Wai, Anthony Man-Cho So:
Network Games Induced Prior for Graph Topology Learning. CoRR abs/2410.24095 (2024) - 2023
- [j58]Mingwu Yao, Jiamu Liu, Jing Du, Dongqi Yan, Yanxi Zhang, Wei Liu, Anthony Man-Cho So:
A unified flow scheduling method for time sensitive networks. Comput. Networks 233: 109847 (2023) - [j57]Peng Wang, Huikang Liu, Anthony Man-Cho So:
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis. SIAM J. Optim. 33(2): 684-712 (2023) - [j56]Huikang Liu, Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling:
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. IEEE Trans. Signal Inf. Process. over Networks 9: 427-441 (2023) - [j55]Xiaolu Wang, Chaorui Yao, Anthony Man-Cho So:
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals. IEEE Trans. Signal Inf. Process. over Networks 9: 490-504 (2023) - [j54]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. IEEE Trans. Signal Process. 71: 311-326 (2023) - [c74]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. AAAI 2023: 12799-12807 - [c73]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. ICLR 2023 - [c72]Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So:
Projected Tensor Power Method for Hypergraph Community Recovery. ICML 2023: 36285-36307 - [c71]Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So:
Outlier-Robust Gromov-Wasserstein for Graph Data. NeurIPS 2023 - [c70]Huikang Liu, Xiao Li, Anthony Man-Cho So:
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization. NeurIPS 2023 - [c69]Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So:
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees. NeurIPS 2023 - [c68]Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li:
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization. NeurIPS 2023 - [i49]Zihao Fu, Anthony Man-Cho So, Nigel Collier:
A Stability Analysis of Fine-Tuning a Pre-Trained Model. CoRR abs/2301.09820 (2023) - [i48]Lemin Kong, Jiajin Li, Anthony Man-Cho So:
Outlier-Robust Gromov Wasserstein for Graph Data. CoRR abs/2302.04610 (2023) - [i47]Lai Tian, Anthony Man-Cho So:
Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms. CoRR abs/2302.12261 (2023) - [i46]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. CoRR abs/2303.06595 (2023) - [i45]Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So:
Decentralized Weakly Convex Optimization Over the Stiefel Manifold. CoRR abs/2303.17779 (2023) - [i44]Zihao Fu, Wai Lam, Qian Yu, Anthony Man-Cho So, Shengding Hu, Zhiyuan Liu, Nigel Collier:
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder. CoRR abs/2304.04052 (2023) - [i43]Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So:
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees. CoRR abs/2305.01379 (2023) - [i42]Xiao Li, Lei Zhao, Daoli Zhu, Anthony Man-Cho So:
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity. CoRR abs/2305.14161 (2023) - [i41]Huikang Liu, Xiao Li, Anthony Man-Cho So:
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization. CoRR abs/2305.15136 (2023) - 2022
- [j53]Huikang Liu, Xiaolu Wang, Anthony Man-Cho So:
Adaptive coordinate sampling for stochastic primal-dual optimization. Int. Trans. Oper. Res. 29(1): 24-47 (2022) - [j52]Peng Wang, Zirui Zhou, Anthony Man-Cho So:
Non-convex exact community recovery in stochastic block model. Math. Program. 195(1): 1-37 (2022) - [j51]Chujun Huang, Mingjie Shao, Wing-Kin Ma, Anthony Man-Cho So:
SISAL Revisited. SIAM J. Imaging Sci. 15(2): 591-624 (2022) - [j50]Yuen-Man Pun, Anthony Man-Cho So:
Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements. IEEE Trans. Signal Process. 70: 190-201 (2022) - [j49]Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos:
Probabilistic Simplex Component Analysis. IEEE Trans. Signal Process. 70: 582-599 (2022) - [j48]Xiaolu Wang, Yuen-Man Pun, Anthony Man-Cho So:
Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty. IEEE Trans. Signal Process. 70: 6216-6231 (2022) - [j47]Wei Liu, Lin Zhu, Huiting Yang, Hongyan Li, Jiandong Li, Anthony Man-Cho So:
Maximum Flow Routing Strategy With Dynamic Link Allocation for Space Information Networks Under Transceiver Constraints. IEEE Trans. Veh. Technol. 71(9): 9993-10000 (2022) - [c67]Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng:
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. AISTATS 2022: 3684-3708 - [c66]Lai Tian, Anthony Man-Cho So:
Computing D-Stationary Points of ρ-Margin Loss SVM. AISTATS 2022: 3772-3793 - [c65]Xiaolu Wang, Peng Wang, Anthony Man-Cho So:
Exact Community Recovery over Signed Graphs. AISTATS 2022: 9686-9710 - [c64]Lai Tian, Kaiwen Zhou, Anthony Man-Cho So:
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions. ICML 2022: 21360-21379 - [c63]Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano:
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. ICML 2022: 22884-22918 - [i40]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. CoRR abs/2201.07699 (2022) - [i39]Xiaolu Wang, Peng Wang, Anthony Man-Cho So:
Exact Community Recovery over Signed Graphs. CoRR abs/2202.12255 (2022) - [i38]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning. CoRR abs/2205.08115 (2022) - [i37]Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen:
Riemannian Natural Gradient Methods. CoRR abs/2207.07287 (2022) - [i36]Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So:
Nonsmooth Composite Nonconvex-Concave Minimax Optimization. CoRR abs/2209.10825 (2022) - [i35]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. CoRR abs/2211.15583 (2022) - 2021
- [j46]Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. IEEE Internet Things J. 8(4): 2681-2693 (2021) - [j45]Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. 31(3): 1605-1634 (2021) - [j44]Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So:
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 7: 346-358 (2021) - [j43]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. IEEE Trans. Signal Process. 69: 4282-4295 (2021) - [j42]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. 69: 4759-4773 (2021) - [c62]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. AAAI 2021: 12848-12856 - [c61]Xiaolu Wang, Chaorui Yao, Haoyu Lei, Anthony Man-Cho So:
An Efficient Alternating Direction Method for Graph Learning from Smooth Signals. ICASSP 2021: 5380-5384 - [c60]Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So:
Sparse High-Order Portfolios Via Proximal Dca And Sca. ICASSP 2021: 5425-5429 - [c59]Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So:
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method. ICML 2021: 10828-10838 - [i34]Sissi Xiaoxiao Wu, Sherry Xueying Ni, Jiaying Li, Anthony Man-Cho So:
Quartic Perturbation-based Outage-constrained Robust Design in Two-hop One-way Relay Networks. CoRR abs/2101.06907 (2021) - [i33]Xiaolu Wang, Yuen-Man Pun, Anthony Man-Cho So:
Learning Graphs from Smooth Signals under Moment Uncertainty. CoRR abs/2105.05458 (2021) - [i32]Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng:
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. CoRR abs/2105.12062 (2021) - [i31]Kaiwen Zhou, Anthony Man-Cho So, James Cheng:
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. CoRR abs/2109.15292 (2021) - [i30]Sijin Chen, Xiwei Cheng, Anthony Man-Cho So:
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method. CoRR abs/2112.14204 (2021) - 2020
- [j41]Yong-Hong Kuo, Nicholas B. Chan, Janny M. Y. Leung, Helen Meng, Anthony Man-Cho So, Kelvin Kam-fai Tsoi, Colin A. Graham:
An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department. Int. J. Medical Informatics 139: 104143 (2020) - [j40]Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang:
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. SIAM J. Optim. 30(1): 210-239 (2020) - [j39]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal:
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30(1): 660-686 (2020) - [j38]Sen Huang, Yuen-Man Pun, Anthony Man-Cho So, Kehu Yang:
A Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model. IEEE Signal Process. Lett. 27: 1335-1339 (2020) - [j37]Anthony Man-Cho So, Prateek Jain, Wing-Kin Ma, Gesualdo Scutari:
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. IEEE Signal Process. Mag. 37(5): 15-17 (2020) - [j36]Jiajin Li, Anthony Man-Cho So, Wing-Kin Ma:
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions. IEEE Signal Process. Mag. 37(5): 18-31 (2020) - [c58]Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So:
A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. CDC 2020: 2317-2322 - [c57]Yuen-Man Pun, Anthony Man-Cho So:
Dynamic Regret Bound for Moving Target Tracking Based on Online Time-of-Arrival Measurements. CDC 2020: 5968-5973 - [c56]Zengde Deng, Anthony Man-Cho So:
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. ICASSP 2020: 5425-5429 - [c55]Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling:
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. ICASSP 2020: 5745-5749 - [c54]Zengde Deng, Man-Chung Yue, Anthony Man-Cho So:
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. ICASSP 2020: 5760-5764 - [c53]Peng Wang, Zirui Zhou, Anthony Man-Cho So:
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model. ICML 2020: 10126-10135 - [c52]Huikang Liu, Xiaolu Wang, Jiajin Li, Anthony Man-Cho So:
Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients. ICPR 2020: 2150-2157 - [c51]Jiajin Li, Caihua Chen, Anthony Man-Cho So:
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. NeurIPS 2020 - [c50]Kaiwen Zhou, Anthony Man-Cho So, James Cheng:
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates. NeurIPS 2020 - [i29]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR abs/2005.02356 (2020) - [i28]Kaiwen Zhou, Anthony Man-Cho So, James Cheng:
Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates. CoRR abs/2005.12061 (2020) - [i27]Jiajin Li, Anthony Man-Cho So, Wing-Kin Ma:
Understanding Notions of Stationarity in Non-Smooth Optimization. CoRR abs/2006.14901 (2020) - [i26]Huikang Liu, Man-Chung Yue, Anthony Man-Cho So:
A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. CoRR abs/2009.07514 (2020) - [i25]Jiajin Li, Caihua Chen, Anthony Man-Cho So:
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. CoRR abs/2010.12865 (2020) - [i24]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. CoRR abs/2012.14660 (2020)
2010 – 2019
- 2019
- [j35]Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So:
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. 174(1-2): 327-358 (2019) - [j34]Huikang Liu, Anthony Man-Cho So, Weijie Wu:
Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods. Math. Program. 178(1-2): 215-262 (2019) - [j33]Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So:
On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition. SIAM J. Optim. 29(1): 904-932 (2019) - [j32]Russell W. F. Lai, Kam-Fung Cheung, Sherman S. M. Chow, Anthony Man-Cho So:
Another Look at Anonymous Communication. IEEE Trans. Dependable Secur. Comput. 16(5): 731-742 (2019) - [j31]Mingjie Shao, Qiang Li, Wing-Kin Ma, Anthony Man-Cho So:
A Framework for One-Bit and Constant-Envelope Precoding Over Multiuser Massive MISO Channels. IEEE Trans. Signal Process. 67(20): 5309-5324 (2019) - [c49]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC 2019: 259-263 - [c48]Huikang Liu, Peng Wang, Anthony Man-Cho So:
Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints. ICASSP 2019: 4744-4748 - [c47]Peng Wang, Huikang Liu, Anthony Man-Cho So:
Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis. ICASSP 2019: 8147-8151 - [c46]Jiajin Li, Sen Huang, Anthony Man-Cho So:
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression. NeurIPS 2019: 3939-3949 - [i23]Zengde Deng, Anthony Man-Cho So:
An Efficient Augmented Lagrangian Based Method for Constrained Lasso. CoRR abs/1903.05006 (2019) - [i22]Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multi-Agent Reinforcement Learning. CoRR abs/1907.01385 (2019) - [i21]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee:
Incremental Methods for Weakly Convex Optimization. CoRR abs/1907.11687 (2019) - [i20]Jiajin Li, Sen Huang, Anthony Man-Cho So:
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. CoRR abs/1910.12778 (2019) - [i19]Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR abs/1911.05047 (2019) - 2018
- [j30]Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018) - [c45]Ting Wang, Xueli Hong, Wen Liu, Anthony Man-Cho So, Kehu Yang:
Geolocation of Unknown Emitters Using Tdoa of Path Rays Through the Ionosphere by Multiple Coordinated Distant Receivers. ICASSP 2018: 3509-3513 - [c44]Rujun Jiang, Huikang Liu, Anthony Man-Cho So:
LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming. SPAWC 2018: 1-5 - [c43]Sherry Xueying Ni, Anthony Man-Cho So:
Mixed-Integer Semidefinite Relaxation of Joint Admission Control and Beamforming: An SOC-Based Outer Approximation Approach with Provable Guarantees. SPAWC 2018: 1-5 - [c42]Mingjie Shao, Qiang Li, Wing-Kin Ma, Anthony Man-Cho So:
Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive Miso Downlink. SSP 2018: 727-731 - [i18]