Yuejie Chi

发表

Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

Andrea J. Goldsmith, Yuxin Chen, Yuejie Chi, 2013, IEEE Transactions on Information Theory.

Reshaped Wirtinger Flow and Incremental Algorithm for Solving Quadratic System of Equations

Yuejie Chi, Yi Zhou, Huishuai Zhang, 2016 .

A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms

Yingbin Liang, Yuejie Chi, Huishuai Zhang, 2017, J. Mach. Learn. Res..

Non-convex low-rank matrix recovery from corrupted random linear measurements

Yuejie Chi, Yingbin Liang, Huishuai Zhang, 2017, 2017 International Conference on Sampling Theory and Applications (SampTA).

Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval

Yuxin Chen, Yuejie Chi, Cong Ma, 2018, Mathematical Programming.

Noisy Matrix Completion : Understanding the Stability of Convex Relaxation via Nonconvex Optimization

Jianqing Fan, Yuxin Chen, Yuejie Chi, 2019 .

Analytical Convergence Regions of Accelerated First-Order Methods in Nonconvex Optimization under Regularity Condition

Wei Zhang, Yuejie Chi, Huaqing Xiong, 2018, 1810.03229.

Low-Rank Matrix Completion

Yuejie Chi, 2018 .

Nonconvex Matrix Factorization From Rank-One Measurements

Yuxin Chen, Yuejie Chi, Cong Ma, 2018, IEEE Transactions on Information Theory.

The Sensitivity to Basis Mismatch of Compressed Sensing for Spectrum Analysis and Beamforming

Yuejie Chi, Louis L. Scharf, Ali Pezeshki, 2009 .

Convergence analysis of accelerated first-order methods for phase retrieval

Yuejie Chi, Huaqing Xiong, Bin Hu, 2018 .

Complementary Waveforms for Sidelobe Suppression and Radar Polarimetry

Yuejie Chi, Ali Pezeshki, A. R. Calderbank, 2010 .

Spectral Methods for Data Science: A Statistical Perspective pdf

Cong Ma, Yuxin Chen, Jianqing Fan, 2020, Found. Trends Mach. Learn..

Parameter estimation for mixture models via convex optimization

Yuejie Chi, Yuanxin Li, 2015, 2015 International Conference on Sampling Theory and Applications (SampTA).

Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent

Yuejie Chi, Cong Ma, Harry Dong, 2022, ArXiv.

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, ICML.

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence

Jason D. Lee, Yuxin Chen, Yuejie Chi, 2021, ArXiv.

Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition

Yuejie Chi, Huaqing Xiong, Bin Hu, 2018, Autom..

Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization

Yuejie Chi, Shicong Cen, Fan Chen, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Yuxin Chen, Yuejie Chi, Yuantao Gu, 2020, IEEE Transactions on Information Theory.

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, ICML.

Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, ArXiv.

Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees.

Yuxin Chen, Yuejie Chi, H. Poor, 2019, 1910.04267.

Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent

Yuejie Chi, Cong Ma, Harry Dong, 2022, ArXiv.

PETRELS: Parallel Estimation and Tracking of Subspace by Recursive Least Squares from Partial Observations pdf

A. Robert Calderbank, Yonina C. Eldar, Yuejie Chi, 2012, ArXiv.

BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression

Yuejie Chi, Boyue Li, Haoyu Zhao, 2022, NeurIPS.

Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Yuejie Chi, Cong Ma, Tian Tong, 2021, 2021 IEEE Data Science and Learning Workshop (DSLW).

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, NeurIPS.

SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression

Yuejie Chi, Boyue Li, Haoyu Zhao, 2022, NeurIPS.

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model pdf

Yuantao Gu, Yuejie Chi, Gen Li, 2020, NeurIPS.

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity

Yuejie Chi, Laixi Shi, 2022, ArXiv.

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

Yuxin Chen, Yuxin Chen, Yuejie Chi, 2021, NeurIPS.

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, ArXiv.

Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements

Maxime Ferreira Da Costa, Yuejie Chi, 2022, ArXiv.

Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games

S. Du, Yuejie Chi, Lin Xiao, 2022, ICLR.

Asynchronous Gradient Play in Zero-Sum Multi-agent Games

Yuejie Chi, Ruicheng Ao, Shicong Cen, 2022, ICLR.

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion

Erin E. Tripp, Yuejie Chi, Cong Ma, 2022, AISTATS.

A Multi-Token Coordinate Descent Method for Vertical Federated Learning

Yuejie Chi, J. Xavier, Pedro Valdeira, 2022 .

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence

Jason D. Lee, Yuxin Chen, Yuejie Chi, 2021, SIAM J. Optim..

Stable Separation and Super-Resolution of Mixture Models pdf

Yuejie Chi, Yuanxin Li, Yuejie Chi, 2015, Applied and Computational Harmonic Analysis.

Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy

Yingbin Liang, Yuejie Chi, Haoyu Fu, 2018, IEEE Transactions on Signal Processing.

Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression pdf

Yingbin Liang, Yuejie Chi, Haoyu Fu, 2018, ArXiv.

Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization pdf

Yuejie Chi, Yuting Wei, Shicong Cen, 2021, NeurIPS.

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Yuxin Chen, Yuejie Chi, Yue M. Lu, 2018, IEEE Transactions on Signal Processing.

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion

Yuxin Chen, Yuejie Chi, Cong Ma, 2018, ICML.

Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution

Yuejie Chi, Maxime Ferreira Da Costa, Yuejie Chi, 2019, IEEE Signal Processing Magazine.

Robust Spectral Compressed Sensing via Structured Matrix Completion

Yuxin Chen, Yuejie Chi, Yuxin Chen, 2013, IEEE Transactions on Information Theory.

Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization

Yudong Chen, Yuejie Chi, Yuejie Chi, 2018, IEEE Signal Processing Magazine.

Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation

Yingbin Liang, Yuejie Chi, Huishuai Zhang, 2019, Applied and Numerical Harmonic Analysis.

Compressive graph clustering from random sketches

Yuejie Chi, Yuejie Chi, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spectral Methods for Data Science: A Statistical Perspective

Jianqing Fan, Yuxin Chen, Yuejie Chi, 2020, Found. Trends Mach. Learn..

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Yuling Yan, Yuejie Chi, Cong Ma, 2019, SIAM J. Optim..

Vector-Valued Graph Trend Filtering With Non-Convex Penalties

Jelena Kovacevic, Yuejie Chi, Rohan Varma, 2019, IEEE Transactions on Signal and Information Processing over Networks.

Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval

Jianqing Fan, Yuxin Chen, Yuejie Chi, 2018, Math. Program..

The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing

Yuejie Chi, Xingyu Xu, Yandi Shen, 2023, ArXiv.

Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers

Yingbin Liang, Yuejie Chi, Huishuai Zhang, 2016, IEEE Transactions on Information Theory.

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting pdf

Yuantao Gu, Yuejie Chi, Gen Li, 2021, NeurIPS.

A large collection of real-world pediatric sleep studies

Yuejie Chi, Harlin Lee, Boyue Li, 2021, Scientific data.

DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization pdf

Yuejie Chi, Boyue Li, Zhize Li, 2021, SIAM J. Math. Data Sci..

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking pdf

Yuejie Chi, Yuxin Chen, Boyue Li, 2019, AISTATS.

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Yuxin Chen, Yuejie Chi, Cong Ma, 2017, Found. Comput. Math..

Sensitivity to Basis Mismatch in Compressed Sensing

A. Robert Calderbank, Yuejie Chi, Ali Pezeshki, 2010, IEEE Transactions on Signal Processing.

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model pdf

Yuxin Chen, Yuantao Gu, Gen Li, 2020, NeurIPS.

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning

Jason D. Lee, Yuxin Chen, Yuejie Chi, 2023, ArXiv.

Classification and Boosting with Multiple Collaborative Representations

Fatih Murat Porikli, Yuejie Chi, Yuejie Chi, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Yuejie Chi, Cong Ma, Tian Tong, 2020, IEEE Transactions on Signal Processing.

Compressive parameter estimation with multiple measurement vectors via structured low-rank covariance estimation

Yuejie Chi, Yuanxin Li, Yuejie Chi, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Softmax policy gradient methods can take exponential time to converge

Yuxin Chen, Yuejie Chi, Yuantao Gu, 2021, Mathematical Programming.

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization pdf

Yuxin Chen, Chen Cheng, Yuting Wei, 2020, Oper. Res..

Streaming PCA and Subspace Tracking: The Missing Data Case

Yuejie Chi, Yue M. Lu, Laura Balzano, 2018, Proceedings of the IEEE.

PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations

A. Robert Calderbank, Yonina C. Eldar, Yuejie Chi, 2012, IEEE Transactions on Signal Processing.

Sparse MIMO radar via structured matrix completion

Yuejie Chi, Yuejie Chi, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning

Yuejie Chi, Yinglong Xia, H. Tong, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements

Maxime Ferreira Da Costa, Yuejie Chi, 2022, IEEE Journal on Selected Areas in Information Theory.

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Yuejie Chi, Laixi Shi, Yuejie Chi, 2021, IEEE Transactions on Information Theory.

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements pdf

Yuejie Chi, Cong Ma, Erin E. Tripp, 2021, J. Mach. Learn. Res..

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Yuejie Chi, Laixi Shi, Yuejie Chi, 2019, IEEE Transactions on Information Theory.

Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization

Yuejie Chi, Yuejie Chi, 2015, IEEE Journal of Selected Topics in Signal Processing.

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Yuxin Chen, Yuejie Chi, Yuting Wei, 2023, ArXiv.

Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees pdf

H. Vincent Poor, Yuejie Chi, Gen Li, 2021, ArXiv.

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity

Yuejie Chi, Laixi Shi, 2022, ArXiv.

Analysis of fisher information and the Cramer-Rao bound for nonlinear parameter estimation after compressed sensing

Yuejie Chi, Louis L. Scharf, Pooria Pakrooh, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy

Yuejie Chi, Mingzhai Sun, Jiaqing Huang, 2017, IEEE Transactions on Computational Imaging.

Super-resolution image reconstruction for high-density 3D single-molecule microscopy

Yuejie Chi, Jiaqing Huang, Mingzhai Sun, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Fast two-dimensional super-resolution image reconstruction algorithm for ultra-high emitter density.

Mingzhai Sun, Jiaqing Huang, Kristyn Gumpper, 2015, Optics letters.

3D multifocus astigmatism and compressed sensing (3D MACS) based superresolution reconstruction.

Yuejie Chi, Mingzhai Sun, Jiaqing Huang, 2015, Biomedical optics express.

Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference

Toshiaki Koike-Akino, Philip V. Orlik, Pu Wang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent pdf

Yuejie Chi, Tian Tong, Cong Ma, 2020, J. Mach. Learn. Res..

The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing

Yuejie Chi, Xingyu Xu, Yandi Shen, 2023, ICML.

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning

Yuejie Chi, Hanghang Tong, Yinglong Xia, 2022, AAAI.

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

Yuxin Chen, Yuejie Chi, M. Geist, 2023, ArXiv.

Quantized Spectral Compressed Sensing: Cramer–Rao Bounds and Recovery Algorithms

Yuejie Chi, Haoyu Fu, Yuejie Chi, 2017, IEEE Transactions on Signal Processing.

Beyond Procrustes: Balancing-free Gradient Descent for Asymmetric Low-Rank Matrix Sensing

Yuejie Chi, Yuanxin Li, Cong Ma, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Sharp high-probability sample complexities for policy evaluation with linear function approximation

A. Rinaldo, Yuejie Chi, Yuting Wei, 2023, arXiv.org.

Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion

Jinfeng Xu, Yuejie Chi, Kaiyi Ji, 2020, IEEE Transactions on Signal Processing.

Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion

Yuejie Chi, Jinfeng Xu, Kaiyi Ji, 2018, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Learning Latent Features with Pairwise Penalties in Matrix Completion pdf

Yuejie Chi, Kaiyi Ji, Jinfeng Xu, 2018, ArXiv.

O ct 2 01 9 Subspace Estimation from Unbalanced and Incomplete Data Matrices : l 2 , ∞ Statistical Guarantees

Yuxin Chen, Yuejie Chi, Changxiao Cai, 2019 .

Improving Graph Trend Filtering with Non-convex Penalties

Jelena Kovacevic, Yuejie Chi, Rohan Varma, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression

Yuejie Chi, Boyue Li, 2023, ArXiv.

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods

Yuxin Chen, Yuejie Chi, H. Poor, 2023, ArXiv.

Identification of Nonlinear Latent Hierarchical Models

E. Xing, Yuejie Chi, Biwei Huang, 2023, ArXiv.

Understanding Masked Autoencoders via Hierarchical Latent Variable Models

Martin Q. Ma, E. Xing, Yuejie Chi, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Low-Rank Matrix Completion [Lecture Notes]

Yuejie Chi, Yuejie Chi, 2018, IEEE Signal Processing Magazine.

Compressive spectrum estimation using quantized measurements

Yuejie Chi, Haoyu Fu, Yuejie Chi, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Blind Deconvolution From Multiple Sparse Inputs

Liming Wang, Yuejie Chi, Yuejie Chi, 2016, IEEE Signal Processing Letters.

Change-point estimation of high-dimensional streaming data via sketching

Yuejie Chi, Yihong Wu, Yuejie Chi, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Orthogonal Matching Pursuit on Faulty Circuits

Lara Dolecek, Yao Li, Yuejie Chi, 2015, IEEE Transactions on Communications.

Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

Yuxin Chen, Yuejie Chi, Yuxin Chen, 2015, IEEE Transactions on Signal Processing.

Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

Yuejie Chi, Yuanxin Li, Yuejie Chi, 2014, IEEE Transactions on Signal Processing.

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Yuejie Chi, Laixi Shi, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning

Yuxin Chen, Yuejie Chi, Yuantao Gu, 2021, ICML.

Joint sparsity recovery for spectral compressed sensing

Yuejie Chi, Yuejie Chi, 2013, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Self-Calibrated Super Resolution

Yuejie Chi, Maxime Ferreira Da Costa, Yuejie Chi, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation

Yuejie Chi, Myung Cho, Wenjing Liao, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow

Yingbin Liang, Yuejie Chi, Huishuai Zhang, 2016, ICML.

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Yuejie Chi, Wenhao Ding, Ding Zhao, 2023, ArXiv.

One-bit principal subspace estimation

Yuejie Chi, Yuejie Chi, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond

Yuejie Chi, Gauri Joshi, Jiin Woo, 2023, International Conference on Machine Learning.

Covariance tracking from sketches of rapid data streams

Yuejie Chi, Yiran Jiang, Yuejie Chi, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust and universal covariance estimation from quadratic measurements via convex programming

Andrea J. Goldsmith, Yuxin Chen, Yuejie Chi, 2014, 2014 IEEE International Symposium on Information Theory.

Compressive demodulation of mutually interfering signals

A. Robert Calderbank, Yuejie Chi, Lorne Applebaum, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Device-free Multiple People Localization through Floor Vibration

Hae Young Noh, Mostafa Mirshekari, Jonathon Fagert, 2019, DFHS@BuildSys.

Training Signal Design and Tradeoffs for Spectrally-Efficient Multi-User MIMO-OFDM Systems

A. Robert Calderbank, Naofal Al-Dhahir, Yuejie Chi, 2011, IEEE Transactions on Wireless Communications.

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Yuxin Chen, Yuejie Chi, Cong Ma, 2019, Foundations of Computational Mathematics.

Resolving spatial modes of lasers via matrix completion.

B. L. Anderson, Betty Lise Anderson, Yuejie Chi, 2013, Optics letters.

Stochastic Approximation and Memory-Limited Subspace Tracking for Poisson Streaming Data

Liming Wang, Yuejie Chi, Yuejie Chi, 2018, IEEE Transactions on Signal Processing.

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Yuejie Chi, Wenhao Ding, Ding Zhao, 2023, NeurIPS.

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Jianqing Fan, Yuxin Chen, Yuejie Chi, 2019, SIAM J. Optim..

Compressive blind source separation

A. Robert Calderbank, Yuejie Chi, Yiyue Wu, 2010, 2010 IEEE International Conference on Image Processing.

Identification of Nonlinear Latent Hierarchical Models

E. Xing, Yuejie Chi, Biwei Huang, 2023, NeurIPS.

Solving Quadratic Equations via Amplitude-based Nonconvex Optimization

Yuejie Chi, Yuanxin Li, Vincent Monardo, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Outlier-robust recovery of low-rank positive semidefinite matrices from magnitude measurements

Yuejie Chi, Yue Sun, Yuanxin Li, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements

Yue Sun, Yuejie Chi, Yuanxin Li, 2016, IEEE Transactions on Signal Processing.

Low-Rank Positive Semidefinite Matrix Recovery from Quadratic Measurements with Outliers pdf

Yue Sun, Yuejie Chi, Yuanxin Li, 2016, ArXiv.

Softmax policy gradient methods can take exponential time to converge

Yuxin Chen, Yuejie Chi, Yuantao Gu, 2021, Mathematical Programming.

Blind calibration of multi-channel samplers using sparse recovery

Yuejie Chi, Yue M. Lu, Yuanxin Li, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Low-rank matrix recovery with poison noise

A. Robert Calderbank, Yuejie Chi, Yao Xie, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Yuxin Chen, Yuejie Chi, Yuting Wei, 2023, ArXiv.

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity

Yuejie Chi, Laixi Shi, 2022, ArXiv.

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

Yuxin Chen, Yuejie Chi, Yuting Wei, 2022, ArXiv.

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction

Yuxin Chen, Yuejie Chi, Boyue Li, 2019, AISTATS.

Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent pdf

Yingbin Liang, Yuejie Chi, Huishuai Zhang, 2017, Information and Inference: A Journal of the IMA.

Offline Reinforcement Learning with On-Policy Q-Function Regularization

Robert Dadashi, P. S. Castro, Yuejie Chi, 2023, ECML/PKDD.

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Yuxin Chen, Yuejie Chi, Yuantao Gu, 2020, NeurIPS.

Spectral Compressed Sensing via Structured Matrix Completion pdf

Yuxin Chen, Yuejie Chi, Yuxin Chen, 2013, ICML.

Vector-Valued Graph Trend Filtering With Non-Convex Penalties

Yuejie Chi, J. Kovacevic, R. Varma, 2019, IEEE Transactions on Signal and Information Processing over Networks.