Wotao Yin
Orcid: 0000-0001-6697-9731
According to our database1,
Wotao Yin
authored at least 213 papers
between 2005 and 2024.
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Bibliography
2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR, 2024
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
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
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization.
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
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems.
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.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR, 2020
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning.
CoRR, 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
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
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
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 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
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity.
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
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
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 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
On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers.
J. Sci. Comput., 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
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
Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization.
J. Sci. Comput., 2014
2013
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
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
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
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
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
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
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
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
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
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
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