Hoi-To Wai

发表

Accelerating incremental gradient optimization with curvature information

Angelia Nedic, Wei Shi, Anna Scaglione, 2018, Comput. Optim. Appl..

Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements

Asuman E. Ozdaglar, Anna Scaglione, Hoi-To Wai, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize pdf

Eric Moulines, Alain Durmus, Hoi-To Wai, 2021, NeurIPS.

O C ] 1 0 Se p 20 19 Resilient Distributed Optimization Algorithms for Resource Allocation

César A. Uribe, Hoi-To Wai, M. Alizadeh, 2019 .

On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias

Hoi-To Wai, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems

É. Moulines, Hoi-To Wai, Belhal Karimi, 2022, ALT.

Robust Distributed Optimization With Randomly Corrupted Gradients

César A. Uribe, Hoi-To Wai, M. Alizadeh, 2021, ArXiv.

Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution

Hoi-To Wai, Wing-Kin Ma, Ruiyuan Wu, 2019, IEEE Transactions on Signal Processing.

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Zhaoran Wang, Hoi-To Wai, Zhuoran Yang, 2020, SIAM J. Optim..

Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation

Hoi-To Wai, Yiran He, 2022, IEEE Transactions on Signal Processing.

Robust Distributed Optimization With Randomly Corrupted Gradients

César A. Uribe, Hoi-To Wai, M. Alizadeh, 2021, IEEE Transactions on Signal Processing.

Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents

Hoi-To Wai, Qiang Li, Chung-Yiu Yau, 2022, NeurIPS.

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization

César A. Uribe, Hoi-To Wai, M. Alizadeh, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence

Hoi-To Wai, Zhuoran Yang, Mingyi Hong, 2021, NeurIPS.

Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling

Hoi-To Wai, Yiran He, Chenyue Zhang, 2022, 2211.00909.

Community Inference From Partially Observed Graph Signals: Algorithms and Analysis

Yonina C. Eldar, A. Ozdaglar, Hoi-To Wai, 2022, IEEE Transactions on Signal Processing.

Provably Efficient Neural GTD for Off-Policy Learning

Mingyi Hong, Zhuoran Yang, Hoi-To Wai, 2020, Neural Information Processing Systems.

Accelerating incremental gradient optimization with curvature information

César A. Uribe, A. Nedić, Hoi-To Wai, 2020, Computational Optimization and Applications.

On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization

Hoi-To Wai, Qiang Li, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Zhuoran Yang, Zhaoran Wang, Mingyi Hong, 2018, NeurIPS.

Blind Community Detection From Low-Rank Excitations of a Graph Filter

Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, 2018, IEEE Transactions on Signal Processing.

Community Inference from Graph Signals with Hidden Nodes

Yonina C. Eldar, Anna Scaglione, Asuman Ozdaglar, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind Community Detection From Low-Rank Excitations of a Graph Filter

Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, 2018, IEEE Transactions on Signal Processing.

Active Sensing of Social Networks

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Convergence Analysis of Riemannian Stochastic Approximation Schemes pdf

Alain Durmus, Salem Said, Hoi-To Wai, 2020, ArXiv.

Optimized path planning for electric vehicle routing and charging

Andrea J. Goldsmith, Anna Scaglione, Tara Javidi, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization

Cheng Gao, Xiao Fu, Kejun Huang, 2019, IEEE Transactions on Signal Processing.

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models

Hoi-To Wai, A. Scaglione, Wing-Kin Ma, 2020, AAAI.

Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem

Hoi-To Wai, Yiran He, Hoi-To Wai, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility

Anna Scaglione, Andrea Goldsmith, Hoi-To Wai, 2019, IEEE Transactions on Control of Network Systems.

Marginal charging station pricing in an intelligent electric transportation system

Andrea J. Goldsmith, Anna Scaglione, Hoi-To Wai, 2017, 2017 American Control Conference (ACC).

Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

Andrea J. Goldsmith, Anna Scaglione, Tara Javidi, 2015, IEEE Transactions on Control of Network Systems.

Joint Management of Electric Vehicles in Coupled Power and Transportation Networks pdf

Andrea J. Goldsmith, Anna Scaglione, Tara Javidi, 2015, ArXiv.

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods

Eric Moulines, Marc Lavielle, Hoi-To Wai, 2019, NeurIPS.

An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models pdf

Hoi-To Wai, Arjun Ashok Rao, Hoi-To Wai, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond

Mingyi Hong, Tsung-Hui Chang, Hoi-To Wai, 2020, IEEE Signal Processing Magazine.

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond pdf

Songtao Lu, Mingyi Hong, Tsung-Hui Chang, 2020, ArXiv.

A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning

Anna Scaglione, Tsung-Hui Chang, Hoi-To Wai, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Resilient Primal–Dual Optimization Algorithms for Distributed Resource Allocation

César A. Uribe, Hoi-To Wai, M. Alizadeh, 2020, IEEE Transactions on Control of Network Systems.

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

Prashant Khanduri, Mingyi Hong, Zhuoran Yang, 2021, NeurIPS.

A Review of Distributed Algorithms for Principal Component Analysis

Anna Scaglione, Lin Li, Hoi-To Wai, 2018, Proceedings of the IEEE.

D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization

Eric Moulines, Hoi-To Wai, Jean Lafond, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems

Anna Scaglione, Eric Moulines, Hoi-To Wai, 2016, IEEE Transactions on Automatic Control.

The Power-Oja method for decentralized subspace estimation/tracking

Anna Scaglione, Hoi-To Wai, Sissi Xiaoxiao Wu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning

Hoi-To Wai, Chung-Yiu Yau, 2022, ArXiv.

State Dependent Performative Prediction with Stochastic Approximation

Hoi-To Wai, Qiang Li, Hoi-To Wai, 2021, AISTATS.

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Zhaoran Wang, Hoi-To Wai, Zhuoran Yang, 2023, SIAM J. Optim..

Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise

Hoi-To Wai, Eric Moulines, Alexey Naumov, 2020, COLT.

Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms

Qiang Li, Wing-Kin Ma, Hoi-To Wai, 2016, IEEE Transactions on Signal Processing.

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks

Hoi-To Wai, Yan Huang, Wenchao Meng, 2022, IEEE Conference on Decision and Control.

Variance Reduced Policy Evaluation with Smooth Function Approximation

Zhaoran Wang, Mingyi Hong, Zhuoran Yang, 2019, NeurIPS.

Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2019, IEEE Transactions on Signal Processing.

NETWORK INFERENCE FROM COMPLEX SYSTEMS STEADY STATES OBSERVATIONS: THEORY AND METHODS

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2018, 2018 IEEE Data Science Workshop (DSW).

The social system identification problem

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Active online learning of trusts in social networks

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Identifying trust in social networks with stubborn agents, with application to market decisions

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Data Injection Attacks in Randomized Gossiping

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2016, IEEE Transactions on Signal and Information Processing over Networks.

On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning

Eric Moulines, Alain Durmus, Hoi-To Wai, 2021, COLT.

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization pdf

Prashant Khanduri, Zhaoran Wang, Mingyi Hong, 2021, ArXiv.

Accelerating incremental gradient optimization with curvature information

César A. Uribe, A. Nedić, Hoi-To Wai, 2018, Comput. Optim. Appl..

Estimating Centrality Blindly From Low-Pass Filtered Graph Signals

Hoi-To Wai, Yiran He, Hoi-To Wai, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames

Eric Moulines, Julie Josse, Hoi-To Wai, 2018, NeurIPS.

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach

Hoi-To Wai, Jia Liu, Haibo Yang, 2022, ICLR.

Provably Efficient Neural GTD Algorithm for Off-policy Learning

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, 2020 .

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

É. Moulines, Aymeric Dieuleveut, Hoi-To Wai, 2023, IEEE Transactions on Signal Processing.

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm

Gersende Fort, Eric Moulines, Hoi-To Wai, 2020, NeurIPS.

Exact Blind Community Detection From Signals on Multiple Graphs

Santiago Segarra, T. Mitchell Roddenberry, Hoi-To Wai, 2020, IEEE Transactions on Signal Processing.

RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments pdf

Anna Scaglione, Amir Leshem, Hoi-To Wai, 2016, ArXiv.

Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed

Hoi-To Wai, Wing-Kin Ma, Wai-Yiu Keung, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications

Raksha Ramakrishna, Anna Scaglione, Hoi-To Wai, 2020, IEEE Signal Processing Magazine.

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme

Eric Moulines, Hoi-To Wai, Belhal Karimi, 2019, COLT.

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Hoi-To Wai, Zhuoran Yang, Mingyi Hong, 2020, ArXiv.

Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization

Ya-Feng Liu, Wing-Kin Ma, Mingyi Hong, 2013, IEEE Journal on Selected Areas in Communications.

Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications

Hoi-To Wai, Yiran He, Chenyue Zhang, 2023, 2306.01553.

Convergence Analysis of Riemannian Stochastic Approximation Schemes

É. Moulines, Alain Durmus, Hoi-To Wai, 2020, arXiv.org.

Blind Graph Matching Using Graph Signals

Hoi-To Wai, A. Scaglione, Hang Liu, 2023, 2306.15747.

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints

Zhi-Quan Luo, Ya-Feng Liu, Qiang Li, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization

Anna Scaglione, Angelia Nedic, Hoi-To Wai, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Curvature-aided incremental aggregated gradient method

Wei Shi, Anna Scaglione, Angelia Nedic, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Data Injection Attack on Decentralized Optimization

Anna Scaglione, Angelia Nedic, Amir Leshem, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast and privacy preserving distributed low-rank regression

Eric Moulines, Anna Scaglione, Hoi-To Wai, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State estimation with sampling offsets in Wide Area Measurement Systems

Anna Scaglione, Hoi-To Wai, Hoi-To Wai, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Optimal Electricity Pricing for Societal Infrastructure Systems

Andrea J. Goldsmith, Anna Scaglione, Hoi-To Wai, 2017, HICSS.

A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints

Qiang Li, Wing-Kin Ma, Hoi-To Wai, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convergence Analysis of a Stochastic Projection-free Algorithm pdf

Eric Moulines, Hoi-To Wai, Jean Lafond, 2015, ArXiv.

On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations

Eric Moulines, Hoi-To Wai, Jean Lafond, 2015, 1510.01171.

A decentralized method for joint admission control and beamforming in coordinated multicell downlink

Wing-Kin Ma, Hoi-To Wai, Hoi-To Wai, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

On Curvature-aided Incremental Aggregated Gradient Methods

César A. Uribe, Hoi-To Wai, Wei Shi, 2018 .

3 1 M ay 2 01 8 ON CURVATURE-AIDED INCREMENTAL AGGREGATED GRADIENT METHODS

César A. Uribe, A. Nedić, Hoi-To Wai, 2022 .

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm pdf

Gersende Fort, Eric Moulines, Hoi-To Wai, 2020, ArXiv.

Data mining the underlying trust in the US Congress

Anna Scaglione, Hoi-To Wai, Sissi Xiaoxiao Wu, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Network Effects in Performative Prediction Games

Hoi-To Wai, Chung-Yiu Yau, Xiaolu Wang, 2023, ICML.

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence

Hoi-To Wai, Zhuoran Yang, Mingyi Hong, 2021, NeurIPS.

Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution

Wing-Kin Ma, Xiao Fu, Hoi-To Wai, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Non-convex Optimization with Frank-Wolfe Algorithm and Its Variants

Eric Moulines, Hoi-To Wai, É. Moulines, 2016 .

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima

Hoi-To Wai, Zhuoran Yang, Mingyi Hong, 2021, ArXiv.

Clustering of Time-Varying Graphs Based on Temporal Label Smoothness

Hoi-To Wai, Yuichi Tanaka, Koki Yamada, 2023, ArXiv.

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors

Anna Scaglione, Hoi-To Wai, Raksha Ramakrishna, 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression

Hoi-To Wai, Chung-Yiu Yau, 2023, 2023 62nd IEEE Conference on Decision and Control (CDC).

Blind Graph Matching Using Graph Signals

Hoi-To Wai, A. Scaglione, Hang Liu, 2023, IEEE Transactions on Signal Processing.

A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications

Hoi-To Wai, A. Scaglione, Raksha Ramakrishna, 2020, IEEE Signal Processing Magazine.

On Detecting Low-pass Graph Signals under Partial Observations

Hoi-To Wai, Hoang-Son Nguyen, 2024, 2405.10001.

Solutions of the Graph Matching Problem Using Graph Signals

Hoi-To Wai, Hang Liu, Anna Scaglione, 2023, 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Central Nodes Detection from Partially Observed Graph Signals

Hoi-To Wai, Yiran He, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires pdf

Hoi-To Wai, Yiran He, Hoang-Son Nguyen, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis

Hoi-To Wai, Yiran He, 2021, IEEE Transactions on Signal Processing.

Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss

Hoi-To Wai, Qiang Li, 2024, 2405.17922.

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies

Hoi-To Wai, Qiang Li, Michal Yemini, 2024, ArXiv.

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data

Hoi-To Wai, Qiang Li, Haitong Liu, 2023, 2310.05792.