Hoi-To Wai

Orcid: 0000-0003-4796-4483

According to our database1, Hoi-To Wai authored at least 123 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Distributed Optimization With Personalization: A Flexible Algorithmic Framework.
IEEE Trans. Autom. Control., October, 2024

Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications.
IEEE Trans. Signal Process., 2024

Blind Graph Matching Using Graph Signals.
IEEE Trans. Signal Process., 2024

Optimal Pricing for Linear-Quadratic Games With Nonlinear Interaction Between Agents.
IEEE Control. Syst. Lett., 2024

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
CoRR, 2024

Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data.
CoRR, 2024

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies.
CoRR, 2024

EMC<sup>2</sup>: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.
CoRR, 2024

On Detecting Low-Pass Graph Signals Under Partial Observations.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multiplex Graph With Inter-Layer Coupling.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Data Science Education: The Signal Processing Perspective [SP Education].
IEEE Signal Process. Mag., November, 2023

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
SIAM J. Optim., March, 2023

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning.
IEEE Trans. Signal Process., 2023

DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity.
Trans. Mach. Learn. Res., 2023

Clustering of Time-Varying Graphs Based on Temporal Label Smoothness.
CoRR, 2023

Network Effects in Performative Prediction Games.
Proceedings of the International Conference on Machine Learning, 2023

Product Graph Learning From Multi-Attribute Graph Signals with Inter-Layer Coupling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed.
Proceedings of the IEEE International Conference on Acoustics, 2023

Central Nodes Detection from Partially Observed Graph Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fully Stochastic Distributed Convex Optimization on Time-Varying Graph with Compression.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Solutions of the Graph Matching Problem Using Graph Signals.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Incremental Aggregated Riemannian Gradient Method for Distributed PCA.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis.
IEEE Trans. Signal Process., 2022

Robust Distributed Optimization With Randomly Corrupted Gradients.
IEEE Trans. Signal Process., 2022

Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation.
IEEE Trans. Signal Process., 2022

Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis.
IEEE Trans. Signal Process., 2022

DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning.
CoRR, 2022

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires.
Proceedings of the IEEE International Conference on Acoustics, 2022

Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals.
Proceedings of the IEEE International Conference on Acoustics, 2022

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

State Dependent Performative Prediction with Stochastic Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation.
IEEE Trans. Control. Netw. Syst., 2021

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.
CoRR, 2021

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR, 2021

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identifying First-Order Lowpass Graph Signals Using Perron Frobenius Theorem.
Proceedings of the IEEE International Conference on Acoustics, 2021

Provably Fast Asynchronous And Distributed Algorithms For Pagerank Centrality Computation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning.
Proceedings of the Conference on Learning Theory, 2021

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients.
Proceedings of the 2021 American Control Conference, 2021

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution.
IEEE Trans. Signal Process., 2020

Blind Community Detection From Low-Rank Excitations of a Graph Filter.
IEEE Trans. Signal Process., 2020

Exact Blind Community Detection From Signals on Multiple Graphs.
IEEE Trans. Signal Process., 2020

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
IEEE Trans. Signal Process., 2020

A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications.
IEEE Signal Process. Mag., 2020

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag., 2020

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm.
CoRR, 2020

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
CoRR, 2020

Convergence Analysis of Riemannian Stochastic Approximation Schemes.
CoRR, 2020

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR, 2020

Accelerating incremental gradient optimization with curvature information.
Comput. Optim. Appl., 2020

Provably Efficient Neural GTD for Off-Policy Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating Centrality Blindly From Low-Pass Filtered Graph Signals.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.
Proceedings of the Conference on Learning Theory, 2020

On the Convergence of Consensus Algorithms with Markovian noise and Gradient Bias.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points.
IEEE Trans. Signal Process., 2019

Retail and Wholesale Electricity Pricing Considering Electric Vehicle Mobility.
IEEE Trans. Control. Netw. Syst., 2019

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.
CoRR, 2019

Variance Reduced Policy Evaluation with Smooth Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Community Inference from Graph Signals with Hidden Nodes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Partitioning of Time-varying Networks with Unobserved Edges.
Proceedings of the IEEE International Conference on Acoustics, 2019

Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
Proceedings of the Conference on Learning Theory, 2019

Resilient Distributed Optimization Algorithms for Resource Allocation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Estimating Social Opinion Dynamics Models From Voting Records.
IEEE Trans. Signal Process., 2018

A Review of Distributed Algorithms for Principal Component Analysis.
Proc. IEEE, 2018

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Detecting and Localizing Adversarial Nodes Usig Neural Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Injection Attack on Decentralized Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Community Detection from Low-Rank Excitations of a Graph Filter.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Network Inference from Complex Systems Steady States Observations: Theory and Methods.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
New and Provable Results for Network Inference Problems and Multi-agent Optimization Algorithms.
PhD thesis, 2017

Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks.
IEEE Trans. Control. Netw. Syst., 2017

Decentralized Frank-Wolfe Algorithm for Convex and Nonconvex Problems.
IEEE Trans. Autom. Control., 2017

The Power-Oja method for decentralized subspace estimation/tracking.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fast and privacy preserving distributed low-rank regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Optimal Electricity Pricing for Societal Infrastructure Systems.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Marginal charging station pricing in an intelligent electric transportation system.
Proceedings of the 2017 American Control Conference, 2017

Curvature-aided incremental aggregated gradient method.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Discrete Sum Rate Maximization for MISO Interference Broadcast Channels: Convex Approximations and Efficient Algorithms.
IEEE Trans. Signal Process., 2016

Active Sensing of Social Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Data Injection Attacks in Randomized Gossiping.
IEEE Trans. Signal Inf. Process. over Networks, 2016

RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments.
CoRR, 2016

Decentralized Projection-free Optimization for Convex and Non-convex Problems.
CoRR, 2016

Active online learning of trusts in social networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Data mining the underlying trust in the US Congress.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A projection-free decentralized algorithm for non-convex optimization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Consensus on State and Time: Decentralized Regression With Asynchronous Sampling.
IEEE Trans. Signal Process., 2015

Convergence Analysis of a Stochastic Projection-free Algorithm.
CoRR, 2015

Joint Management of Electric Vehicles in Coupled Power and Transportation Networks.
CoRR, 2015

A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The social system identification problem.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identifying trust in social networks with stubborn agents, with application to market decisions.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Detection of data injection attacks in decentralized learning.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
State estimation with sampling offsets in Wide Area Measurement Systems.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Optimized path planning for electric vehicle routing and charging.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Decentralized regression with asynchronous sub-Nyquist sampling.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization.
IEEE J. Sel. Areas Commun., 2013

A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A decentralized method for joint admission control and beamforming in coordinated multicell downlink.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent.
Proceedings of the IEEE International Conference on Acoustics, 2011


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