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Provably efficient exploration for RL with unsupervised learning

F. Feng, R. Wang, W. Yin, S. Du, L. Yang

Does knowledge transfer always help to learn a better policy?

F. Feng, W. Yin, L. Yang

Safeguarded learned convex optimization

H. Heaton, X. Chen, Z. Wang, W. Yin

LASG: Lazily aggregated stochastic gradients for communication-efficient distributed learning

T. Chen, Y. Sun, W. Yin

Lecture notes on ADMM-type methods

E. Ryu, W. Yin


Scaled relative graph of normal matrices

X. Huang, E. Ryu, W. Yin

Tight coefficients of averaged operators via scaled relative graph

X. Huang, E. Ryu, W. Yin

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

H. Zhang, A. Milzarek, Z. Wen, W. Yin

ODE analysis of stochastic gradient methods with optimism and anchoring for minimax problems and GANs

R. Ryu, K. Yuan, W. Yin

Plug-and-play methods provably converge with properly trained denoisers

E. Ryu, J. Liu, S. Wang, X. Chen, Z. Wang, W. Yin

Scaled relative graph: nonexpansive operators via 2d Euclidean geometry

E. Ryu, R. Hannah, W. Yin

Acceleration of SVRG and Katyusha X by unexact preconditioning

Y. Liu, F. Feng, W. Yin

ALISTA: analytic weights are as good as learned weights in LISTA

J. Liu, X. Chen, Z. Wang, W. Yin

Acceleration of primal-dual methods by preconditioning and simple subproblem procedures

Y. Liu, Y. Xu, W. Yin

AsyncQVI: Asynchronous-parallel Q-Value iteration for reinforcement learning with near-optimal sample complexity

Y. Zeng, F. Feng, W. Yin

Consistent dynamic mode decomposition

O. Azencot, W. Yin, A. Bertozzi


A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR

Y. Shi, X.X. Zhu, W. Yin, R. Bamler

A sharp convergence rate analysis for distributed accelerated gradient methods

H. Li, C. Fang, W. Yin, Z. Lin

Walkman: A Communication-efficient random-walk algorithm for decentralized optimization

X. Mao, K. Yuan, Y. Hu, Y. Gu, A. Sayed, W. Yin

Markov chain block coordinate descent

T. Sun, Y. Sun, Y. Xu, W. Yin

On Markov chain gradient escent

T. Sun, Y. Sun, W. Yin

Multilevel optimal transport: a fast approximation of Wasserstein-1 distances

J. Liu, W. Yin, W. Li, Y.T. Chow

Theoretical linear convergence of unfolded ISTA and its practical weights and thresholds

X. Chen, J. Liu, Z. Wang, W. Yin

LAG: Lazily aggregated gradient for communication-efficient distributed learning

T. Chen, G. Giannakis, T. Sun, W. Yin

Breaking the span assumption yields fast finite-sum minimization

R. Hannah, Y. Liu, D. O'Connor, W. Yin

Algorithm for Hamilton-Jacobi equations in density space via a generalized Hopf formula

Y.-T. Chow, W. Li, S. Osher, W. Yin

An envelope for Davis-Yin splitting and strict saddle point avoidance

Y. Liu and W. Yin

A2BCD: an asynchronous accelerated block coordinate descent algorithm with optimal complexity

R. Hannah, F. Feng, and W. Yin

Denoising prior driven deep neural network for image restoration

W. Dong, P. Wang, W. Yin, G. Shi, F. Wu, X. Lu

Redundancy techniques for straggler mitigation in distributed optimization and learning

C. Karakus, Y. Sun, S. Diggavi, and W. Yin

Douglas-Rachford splitting for pathological convex optimization

E. Ryu, Y. Liu, and W. Yin


Run-and-inspect method for nonconvex optimization and global optimality bounds for r-local minimizers

Y. Chen, Y. Sun, and W. Yin

Straggler mitigation in distributed optimization through data encoding

C. Karakus, Y. Sun, S. Diggavi, and W. Yin

Proximal-proximal-gradient method

E. Ryu and W. Yin

More iterations per second, same quality - Why asynchronous algorithms may drastically outperform traditional ones

R. Hannah and W. Yin

Robust linear unmixing with enhanced sparsity

A. Tiard, L. Condat, L. Drumetz, J. Chanussot, W. Yin, and X. Zhu

First and second order methods for online convolutional dictionary learning

J. Liu, C. Garcia-Cardona, B. Wohlberg, and W. Yin

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

Y. Liu, E. Ryu, and W. Yin

Parallel redistancing using the Hopf–Lax formula

M. Royston, A. Pradhana, B. Lee, Y.T. Chow, W. Yin, J. Teran, and S. Osher

Asynchronous coordinate descent under more realistic assumptions

T. Sun, R. Hannah, and W. Yin

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

Y.-T. Chow, J. Darbon, S. Osher, and W. Yin

A parallel method for earth mover’s distance

W. Li, E. Ryu, S. Osher, W. Yin, and W. Gangbo

Expander graph and communication-efficient decentralized optimization

Y.-T. Chow, W. Shi, T. Wu, and W. Yin


On the convergence of asynchronous parallel iteration with arbitrary delays

Z. Peng, Y. Xu, M. Yan, and W. Yin

Decentralized consensus optimization with asynchrony and delay

T. Wu, K. Yuan, Q. Ling, W. Yin, and A.H. Sayed

Cyclic coordinate update algorithms for fixed-point problems: analysis and applications

Y.T. Chow, T. Wu, and W. Yin

Accelerated high-resolution EEG source imaging

J. Qin, T. Wu, Y. Li, W. Yin, S. Osher, and W. Liu

A primer on coordinate descent algorithms

H.-J. Shi, S. Tu, Y. Xu, and W. Yin

On unbounded delays in asynchronous parallel fixed-point algorithms

R. Hannah and W. Yin

Cauchy noise removal by nonconvex ADMM with convergence guarantees

J. Mei, Y. Dong, T. Huang, and W. Yin

Algorithm for overcoming the curse of dimensionality for certain non-convex Hamilton-Jacobi equations, projections and differential games

Y.T. Chow, J. Darbon, S. Osher, and W. Yin

On nonconvex decentralized gradient descent

J. Zeng and W. Yin

TMAC: A toolbox of modern async-parallel, coordinate, splitting, and stochastic methods

B. Edmunds, Z. Peng, and W. Yin

4pi non-coplanar IMRT beam angle selection by convex optimization with group sparsity penalty

D. O'Connor, Y. Voronenko, D. Nguyen, W. Yin, and K. Sheng

Coordinate friendly structures, algorithms and applications

Z. Peng, T. Wu, Y. Xu, M. Yan, and W. Yin


Global convergence of ADMM in nonconvex nonsmooth optimization

Y. Wang, W. Yin, and J. Zeng

Efficient simultaneous image deconvolution and upsampling algorithm for low-resolution microwave sounder data

J. Qin, I. Yanovsky, and W. Yin

ExtraPush for convex smooth decentralized optimization over directed networks

J. Zeng and W. Yin

Prediction of high resolution spatial-temporal air pollutant map from big data sources

Y. Li, Y. Zhu, W. Yin, Y. Liu, G. Shi, and Z. Han

ARock: an algorithmic framework for asynchronous parallel coordinate updates

Z. Peng, Y. Xu, M. Yan, and W. Yin

A three-operator splitting scheme and its optimization applications

D. Davis and W. Yin

A proximal gradient algorithm for decentralized composite optimization

W. Shi, Q. Ling, G. Wu, and W. Yin


Sparse kernel learning-based feature selection for anomaly detection

Z. Peng, P. Gurram, H. Kwon, and W. Yin

A globally convergent algorithm for nonconvex optimization based on block coordinate update

Y. Xu and W. Yin

Block stochastic gradient iteration for convex and nonconvex optimization

Y. Xu and W. Yin

Sparse recovery via differential inclusions

S. Osher, F. Ruan, J. Xiong, Y. Yao, and W. Yin

Self equivalence of the alternating direction method of multipliers

M. Yan and W. Yin

Faster convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions

D. Davis and W. Yin

Convergence rate analysis of several splitting schemes

D. Davis and W. Yin

EXTRA: an exact first-order algorithm for decentralized consensus optimization

W. Shi, Q. Ling, G. Wu, and W. Yin

Parallel multi-Block ADMM with o(1/k) convergence

W. Deng, M.-J. Lai, Z.Peng, and W. Yin

Video compressive sensing for dynamic MRI

J. Shi, W. Yin, A. Sankaranarayanan, R. Baraniuk

Democratic representations

Christoph Studer, T. Goldstein, W. Yin, and R. Baraniuk

Parallel matrix factorization for low-rank tensor completion

Y. Xu, R. Hao, W. Yin, and Z. Su


Mixing space-time derivatives for video compressive sensing

Y. Yang, H. Schaeffer, W. Yin, and S. Osher

On the convergence of decentralized gradient descent

K. Yuan, Q. Ling, and W. Yin

A fast patch-dictionary method for whole-image recovery

Y. Xu and W. Yin

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

H. Zhang, M. Yan, and W. Yin

Parallel and distributed sparse optimization

Z. Peng, M. Yan, and W. Yin

Optimal sparse kernel learning for hyperspectral anomaly detection

P. Gurram, H. Kwon, Z. Peng, and W. Yin

Sparse Radon transform with dual gradient ascent method

Y. Liu, Z. Peng, W. Symes, and W. Yin

A linearized Bregman algorithm for decentralized basis pursuit

K. Yuan, Q. Ling, W. Yin, and A. Ribeiro

On the linear convergence of the ADMM in decentralized consensus optimization

W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin

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

W. Shi, Q. Ling, K. Yuan, G. Wu, and W. Yin

A new detail-preserving regularization scheme

W. Guo, J. Qin, and W. Yin


Extracting respiratory signals from thoracic cone beam CT projections

H. Yan et al.

NuMax: a convex approach for learning near-isometric linear embeddings

C. Hegde, A.C. Sankaranarayanan, W. Yin, and R.G. Baraniuk

Signal representation with minimum l_infinity norm

C. Studer, W. Yin, and R.G. Baraniuk

Improved iteratively reweighted least squares for unconstrained smoothed lq minimization

M.-J. Lai, Y. Xu, and W. Yin

Necessary and sufficient conditions of solution uniqueness in l1 minimization

H. Zhang, W. Yin, and L. Cheng

A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion

Y. Xu and W. Yin

On the global and linear convergence of the generalized alternating direction method of multipliers

W. Deng and W. Yin

Augmented l1 and nuclear-norm models with a globally linearly convergent algorithm

M.-J. Lai and W. Yin

Decentralized jointly sparse optimization by reweighted lq minimization

Q. Ling, Z. Wen and W. Yin

Error forgetting of Bregman iteration

W. Yin and S. Osher

Learning circulant sensing kernels

Y. Xu, W. Yin, and S. Osher


A feasible method for optimization with orthogonality constraints

Z. Wen and W. Yin

Decentralized low-rank matrix completion

Q. Ling, Y. Xu, W. Yin, and Z. Wen

Edge guided reconstruction for compressive imaging

W. Guo and W. Yin

An efficient augmented Lagrangian method with applications to total variation minimization

C. Li, W. Yin, H. Jiang, and Y. Zhang

Group sparse optimization by alternating direction method

W. Deng, W. Yin, and Y. Zhang

Trust, but verify: fast and accurate signal recovery from 1-bit compressive measurements

J. Laska, Z. Wen, W. Yin, and R. Baraniuk

High resolution OFDM channel estimation with low speed adc using compressive sensing

J. Meng, Y. Li, N. Nguyen, W. Yin, and Z. Han

Folding-free global conformal mapping for genus-0 surfaces by harmonic energy minimization

R. Lai, Z. Wen, W. Yin, X. Gu, and L. M. Lui

Dynamic compressive spectrum sensing for cognitive radio networks

W. Yin, Z. Wen, S. Li, J. Meng, and Z. Han


LMaFit: Solving a low-rank factorization model for matrix completion by a non-linear successive over-relaxation algorithm

Z. Wen, W. Yin, and Y. Zhang

An alternating direction algorithm for matrix completion with nonnegative factors

Y. Xu, W. Yin, Z. Wen, and Y. Zhang

Fast algorithms for image reconstruction with application to partially parallel MR imaging

Y. Chen, W. W. Hager, F. Huang, D. T. Phan, X. Ye, and W. Yin

Compressive sensing based high resolution channel estimation for OFDM system

J. Meng, Y. Li, N. Nguyen, W. Yin, and Z. Han

On the convergence of an active set method for l1-minimization

Z. Wen, W. Yin, H. Zhang, and D. Goldfarb

Oil spill sensor using multispectral infrared imaging via l1 minimization

Y. Li, W.-C. Shih, Z. Han, and W. Yin

Copula density estimation by total variation penalized likelihood with linear equality

L. Qu and W. Yin


Collaborative spectrum sensing from sparse observations for cognitive radio networks

J. Meng, W. Yin, H. Li, E. Houssain, and Z. Han

Practical compressive sensing with Toeplitz and circulant matrices

W. Yin, S. Morgan, J. Yang, and Y. Zhang

Analysis and generalizations of the linearized Bregman method

W. Yin

A Fast Alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data

J. Yang, Y. Zhang, and W. Yin

Alternating direction augmented Lagrangian methods for semidefinite programming

Z. Wen, D. Goldfarb, and W. Yin

Sparse signal reconstruction via iterative support detection

Y. Wang and W. Yin

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

J. Meng, W. Yin, H. Li, E. Houssain, and Z. Han

A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self-feeding sparse SENSE

F. Huang, Y. Chen, W. Yin, W. Lin, X. Ye, W. Guo, and A. Reykowski

EdgeCS: an edge guided compressive sensing reconstruction

W. Guo and W. Yin


Fast linearized Bregman iteration for compressive sensing and sparse denoising

S. Osher, Y. Mao, B. Dong, and W. Yin

Image-based face illumination transferring using the logarithmic total variation model

Q. Li, W. Yin, and Z. Deng

Fixed-point continuation applied to compressed sensing: implementation and numerical experiments

E.T. Hale, W. Yin, and Y. Zhang

FTVd: An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise

J. Yang, Y. Zhang, and W. Yin

A fast algorithm for edge-preserving variational multichannel image restoration

J. Yang, W. Yin, Y. Zhang, and Y. Wang

FPC_AS: A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation

Z. Wen, W. Yin, D. Goldfarb, and Y. Zhang

A Matlab implementation of a flat norm motivated polygonal edge matching method

S.P. Morgan, W. Yin, and K.R. Vixie

Extracting salient features from less data via l1-minimization

W. Yin and Y. Zhang

Iteratively reweighted algorithms for compressive sensing [demo]

R. Chartrand and W. Yin


Parametric maximum flow algorithms for fast total variation minimization

D. Goldfarb and W. Yin

Bregman iterative algorithms for l1-minimization with applications to compressed sensing

W. Yin, S. Osher, D. Goldfarb, and J. Darbon

A new alternating minimization algorithm for total variation image reconstruction

Y. Wang, J. Yang, W. Yin, and Y. Zhang

A fast hybrid algorithm for large scale L1-regularized logistic regression

J. Shi, W. Yin, S. Osher, and P. Sajda

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

S. Ma, W. Yin, Y. Zhang, A. Chakraborty

FPC: Fixed-point continuation for l1-minimization: methodology and convergence

E.T. Hale, W. Yin, and Y. Zhang

A curvilinear search method for p-harmonic flows on spheres [code]

D. Goldfarb, Z. Wen, and W. Yin

2006 and before

A comparison of three total variation based texture extraction models

W. Yin, D. Goldfarb, and S. Osher

The total variation regularized L1 model for multiscale decomposition

W. Yin, D. Goldfarb, and S. Osher

Total variation models for variable lighting face recognition

T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, and T. Huang

Image cartoon-texture decomposition and feature selection using the total variation regularized L1 functional

W. Yin, D. Goldfarb, and S. Osher

Background correction for cDNA microarray image using the TV-L1 model

W. Yin, T. Chen, X.S. Zhou, and A. Chakraborty

Slope and G-set characterization of set-valued functions and applications to non-differentiable optimization problems

O. Scherzer, W. Yin, and S. Osher

An iterative regularization method for total variation-based image restoration

S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin

Second-order cone programming methods for total variation based image restoration

G. Goldfarb and W. Yin

Illumination normalization for face recognition and uneven background correction using total variation based image models

T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, and T. Huang

A new coarse-to-fine framework for 3D brain MR image registration

T. Chen, T. Huang, W. Yin, and X.S. Zhou


The work of my group is supported by grants AFOSR MURI FA9550-18-10502, NSF DMS-1720237, and ONR N0001417121.

I am full time on leave at Alibaba US, DAMO Academy. My email is I am still directing the ressearch of my group at UCLA.