# Wotao Yin

Orcid: 0000-0001-6697-9731
According to our database

Collaborative distances:

^{1}, Wotao Yin authored at least 225 papers between 2005 and 2024.Collaborative distances:

## Timeline

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#### On csauthors.net:

## Bibliography

2024

Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation.

Trans. Mach. Learn. Res., 2024

SIAM J. Optim., 2024

S<sup>3</sup>Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching.

CoRR, 2024

Solving General Natural-Language-Description Optimization Problems with Large Language Models.

CoRR, 2024

CoRR, 2024

CoRR, 2024

CoRR, 2024

CoRR, 2024

CoRR, 2024

Solving General Natural-Language-Description Optimization Problems with Large Language Models.

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares.

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Trans. Mach. Learn. Res., 2023

CoRR, 2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

CoRR, 2023

CoRR, 2023

MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning.

CoRR, 2023

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression.

CoRR, 2023

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm.

Proceedings of the International Conference on Machine Learning, 2023

Proceedings of the International Conference on Machine Learning, 2023

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SIAM J. Math. Data Sci., 2022

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling.

SIAM J. Optim., 2022

On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint.

Math. Program., 2022

Math. Program., 2022

Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints.

J. Sci. Comput., 2022

J. Sci. Comput., 2022

J. Sci. Comput., 2022

J. Mach. Learn. Res., 2022

Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization.

CoRR, 2022

CoRR, 2022

CoRR, 2022

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

IEEE Trans. Signal Process., 2021

IEEE Trans. Signal Process., 2021

Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization.

IEEE Trans. Signal Process., 2021

IEEE Trans. Signal Process., 2021

SIAM J. Sci. Comput., 2021

Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures.

J. Sci. Comput., 2021

CoRR, 2021

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning.

CoRR, 2021

CoRR, 2021

Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems.

CoRR, 2021

CoRR, 2021

CoRR, 2021

CoRR, 2021

CoRR, 2021

CoRR, 2021

CoRR, 2021

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders.

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems.

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Proceedings of the 38th International Conference on Machine Learning, 2021

Proceedings of the 38th International Conference on Machine Learning, 2021

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization.

Proceedings of the 38th International Conference on Machine Learning, 2021

Proceedings of the 9th International Conference on Learning Representations, 2021

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning.

Proceedings of the IEEE International Conference on Acoustics, 2021

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization.

IEEE Trans. Signal Process., 2020

IEEE Trans. Signal Process., 2020

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.

IEEE Trans. Neural Networks Learn. Syst., 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.

CoRR, 2020

CoRR, 2020

LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning.

CoRR, 2020

CoRR, 2020

Comput. Optim. Appl., 2020

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity.

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

SIAM J. Appl. Dyn. Syst., 2019

IEEE Trans. Pattern Anal. Mach. Intell., 2019

A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs.

Math. Program., 2019

Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers.

Math. Program., 2019

J. Sci. Comput., 2019

Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula.

J. Sci. Comput., 2019

J. Optim. Theory Appl., 2019

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning.

J. Mach. Learn. Res., 2019

Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations.

J. Comput. Phys., 2019

IEEE Internet Things J., 2019

CoRR, 2019

CoRR, 2019

ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs.

CoRR, 2019

Comput. Optim. Appl., 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the 7th International Conference on Learning Representations, 2019

Proceedings of the 7th International Conference on Learning Representations, 2019

On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization.

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

A Distributed ADMM Approach With Decomposition-Coordination for Mobile Data Offloading.

IEEE Trans. Veh. Technol., 2018

IEEE Trans. Signal Process., 2018

IEEE Trans. Signal Inf. Process. over Networks, 2018

Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition.

IEEE Trans. Ind. Informatics, 2018

A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR.

IEEE Trans. Geosci. Remote. Sens., 2018

SIAM J. Imaging Sci., 2018

J. Sci. Comput., 2018

J. Sci. Comput., 2018

J. Sci. Comput., 2018

J. Comput. Phys., 2018

AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity.

CoRR, 2018

CoRR, 2018

CoRR, 2018

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds.

2017

Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications.

SIAM J. Sci. Comput., 2017

Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions.

Math. Oper. Res., 2017

A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update.

J. Sci. Comput., 2017

J. Sci. Comput., 2017

Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton-Jacobi Equations Arising From Optimal Control and Differential Games Problems.

J. Sci. Comput., 2017

More Iterations per Second, Same Quality - Why Asynchronous Algorithms may Drastically Outperform Traditional Ones.

CoRR, 2017

A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs.

CoRR, 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

SIAM J. Sci. Comput., 2016

SIAM J. Optim., 2016

On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers.

J. Sci. Comput., 2016

CoRR, 2016

CoRR, 2016

One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations.

Adv. Comput. Math., 2016

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

IEEE Trans. Signal Process., 2015

IEEE Trans. Signal Process., 2015

IEEE Trans. Aerosp. Electron. Syst., 2015

SIAM J. Optim., 2015

SIAM J. Optim., 2015

Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization.

J. Optim. Theory Appl., 2015

CoRR, 2015

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Prediction of High Resolution Spatial-Temporal Air Pollutant Map from Big Data Sources.

Proceedings of the Big Data Computing and Communications - First International Conference, 2015

2014

IEEE Trans. Signal Process., 2014

SIAM J. Imaging Sci., 2014

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization.

J. Sci. Comput., 2014

CoRR, 2014

CoRR, 2014

CoRR, 2014

2013

Decentralized Jointly Sparse Optimization by Reweighted l<sub>q</sub> Minimization.

IEEE Trans. Signal Process., 2013

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁<sub>q</sub> Minimization.

SIAM J. Numer. Anal., 2013

A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion.

SIAM J. Imaging Sci., 2013

Augmented 퓁<sub>1</sub> and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm.

SIAM J. Imaging Sci., 2013

Math. Program., 2013

J. Sci. Comput., 2013

One condition for all: solution uniqueness and robustness of ℓ<sub>1</sub>-synthesis and ℓ<sub>1</sub>-analysis minimizations

CoRR, 2013

CoRR, 2013

CoRR, 2013

CoRR, 2013

An efficient augmented Lagrangian method with applications to total variation minimization.

Comput. Optim. Appl., 2013

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

A distribute parallel approach for big data scale optimal power flow with security constraints.

Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers.

Proceedings of the IEEE International Conference on Acoustics, 2013

Proceedings of the 21st European Signal Processing Conference, 2013

Proceedings of the 2013 Asilomar Conference on Signals, 2013

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

SIAM J. Imaging Sci., 2012

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging.

SIAM J. Imaging Sci., 2012

Optim. Methods Softw., 2012

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm.

Math. Program. Comput., 2012

IEEE J. Sel. Top. Signal Process., 2012

A multi-block alternating direction method with parallel splitting for decentralized consensus optimization.

EURASIP J. Wirel. Commun. Netw., 2012

Copula density estimation by total variation penalized likelihood with linear equality constraints.

Comput. Stat. Data Anal., 2012

Necessary and sufficient conditions of solution uniqueness in ℓ<sub>1</sub> minimization

CoRR, 2012

Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm

CoRR, 2012

Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models.

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements.

IEEE Trans. Signal Process., 2011

Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks.

IEEE J. Sel. Areas Commun., 2011

CoRR, 2011

CoRR, 2011

High Resolution OFDM Channel Estimation with Low Speed ADC Using Compressive Sensing.

Proceedings of IEEE International Conference on Communications, 2011

Proceedings of the IEEE International Conference on Acoustics, 2011

Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010

Image-based face illumination transferring using logarithmic total variation models.

Vis. Comput., 2010

A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation.

SIAM J. Sci. Comput., 2010

SIAM J. Imaging Sci., 2010

SIAM J. Imaging Sci., 2010

Math. Program. Comput., 2010

A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data.

IEEE J. Sel. Top. Signal Process., 2010

A Fast Hybrid Algorithm for Large-Scale <i>l<sub>1</sub></i>-Regularized Logistic Regression.

J. Mach. Learn. Res., 2010

Proceedings of the Visual Communications and Image Processing 2010, 2010

Proceedings of the Visual Communications and Image Processing 2010, 2010

Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks.

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise.

SIAM J. Sci. Comput., 2009

SIAM J. Sci. Comput., 2009

SIAM J. Imaging Sci., 2009

SIAM J. Imaging Sci., 2009

CoRR, 2009

2008

Fixed-Point Continuation for l<sub>1</sub>-Minimization: Methodology and Convergence.

SIAM J. Optim., 2008

Bregman Iterative Algorithms for \ell<sub>1</sub>-Minimization with Applications to Compressed Sensing.

SIAM J. Imaging Sci., 2008

A New Alternating Minimization Algorithm for Total Variation Image Reconstruction.

SIAM J. Imaging Sci., 2008

A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents

CoRR, 2008

Proceedings of the IEEE International Conference on Acoustics, 2008

An efficient algorithm for compressed MR imaging using total variation and wavelets.

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Multiscale Model. Simul., 2007

J. Vis. Commun. Image Represent., 2007

2006

IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005

Second-order Cone Programming Methods for Total Variation-Based Image Restoration.

SIAM J. Sci. Comput., 2005

Multiscale Model. Simul., 2005

Background correction for cDNA microarray images using the TV+<i>L</i><sup>1</sup> model.

Bioinform., 2005

Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L<sup>1</sup> Functional.

Proceedings of the Variational, 2005

Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models.

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Proceedings of the Computer Vision for Biomedical Image Applications, 2005