Lexing Ying

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 152

Top Venues

CoRR

Multiscale Model. Simul.

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Xun Tang, Leah Collis, Lexing Ying
Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators. CoRR (2024)
Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR (2024)
Yinuo Ren, Chao Ma, Lexing Ying
Understanding the Generalization Benefits of Late Learning Rate Decay. CoRR (2024)
Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes. SIAM J. Optim. 34 (1) (2024)
Kaizhao Liu, Jose H. Blanchet, Lexing Ying, Yiping Lu
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty. CoRR (2024)
Alice Cortinovis, Lexing Ying
A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations. CoRR (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR (2024)
Xun Tang, Lexing Ying
Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor. J. Comput. Phys. 511 (2024)
Lexing Ying
Tangent differential privacy. CoRR (2024)
Haoxuan Chen, Lexing Ying
Ensemble-Based Annealed Importance Sampling. CoRR (2024)
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS (2024)
Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity. CoRR (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR (2024)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI (2024)
Yinuo Ren, Chao Ma, Lexing Ying
Understanding the Generalization Benefits of Late Learning Rate Decay. AISTATS (2024)
Hongkang Ni, Lexing Ying
Quantum wave packet transforms with compact frequency support. CoRR (2024)
Lexing Ying
A perturbative analysis for noisy spectral estimation. CoRR (2024)
Lexing Ying
A note on continuous-time online learning. CoRR (2024)
Hongrui Chen, Lexing Ying
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization. CoRR (2024)
Lexing Ying
Multidimensional unstructured sparse recovery via eigenmatrix. CoRR (2024)
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality. NeurIPS (2023)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. CoRR (2023)
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality. CoRR (2023)
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR (2023)
Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez
Efficient long-range convolutions for point clouds. J. Comput. Phys. 473 (2023)
Alice Cortinovis, Lexing Ying
Computing Free Convolutions via Contour Integrals. CoRR (2023)
Philip A. Etter, Yuwei Fan, Lexing Ying
Coarse-proxy reduced basis methods for integral equations. J. Comput. Phys. 475 (2023)
Xun Tang, Lexing Ying
Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor. CoRR (2023)
Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Approximate Newton Policy Gradient Algorithms. SIAM J. Sci. Comput. 45 (5) (2023)
Lexing Ying
Multimodal Sampling via Approximate Symmetries. CoRR (2023)
Hongkang Ni, Haoya Li, Lexing Ying
On low-depth algorithms for quantum phase estimation. Quantum 7 (2023)
Hongkang Ni, Haoya Li, Lexing Ying
Quantum Hamiltonian Learning for the Fermi-Hubbard Model. CoRR (2023)
Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. ICLR (2023)
Haoya Li, Hongkang Ni, Lexing Ying
On efficient quantum block encoding of pseudo-differential operators. Quantum 7 (2023)
Haoya Li, Yu Tong, Hongkang Ni, Tuvia Gefen, Lexing Ying
Heisenberg-limited Hamiltonian learning for interacting bosons. CoRR (2023)
Haoya Li, Hongkang Ni, Lexing Ying
On efficient quantum block encoding of pseudo-differential operators. CoRR (2023)
Haoya Li, Hongkang Ni, Lexing Ying
A note on spike localization for line spectrum estimation. CoRR (2023)
Lexing Ying
Eigenmatrix for unstructured sparse recovery. CoRR (2023)
Chao Ma, Lexing Ying
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. CoRR (2022)
Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying
Generative Modeling via Tree Tensor Network States. CoRR (2022)
Lexing Ying
Annealed importance sampling for Ising models with mixed boundary conditions. CoRR (2022)
Chao Ma, Lexing Ying
Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries. CoRR (2022)
Lexing Ying
Pole Recovery From Noisy Data on Imaginary Axis. J. Sci. Comput. 92 (3) (2022)
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. ICLR (2022)
Yuhua Zhu, Zach Izzo, Lexing Ying
Continuous-in-time Limit for Bayesian Bandits. CoRR (2022)
Yiping Lu, Jose H. Blanchet, Lexing Ying
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. CoRR (2022)
Haoya Li, Lexing Ying
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks. J. Comput. Phys. 453 (2022)
Lexing Ying
Stable factorization for phase factors of quantum signal processing. Quantum 6 (2022)
Lexing Ying
Analytic continuation from limited noisy Matsubara data. J. Comput. Phys. 469 (2022)
Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying
Importance Tempering: Group Robustness for Overparameterized Models. CoRR (2022)
Yiping Lu, José H. Blanchet, Lexing Ying
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. NeurIPS (2022)
Chao Ma, Lexing Ying
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. ICLR (2022)
Lexing Ying
Pole recovery from noisy data on imaginary axis. CoRR (2022)
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. MSML (2022)
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. WWW (2022)
Philip A. Etter, Lexing Ying
Operator Shifting for General Noisy Matrix Systems. SIAM J. Math. Data Sci. 4 (4) (2022)
Lexing Ying
Double Flip Move for Ising Models with Mixed Boundary Conditions. CoRR (2022)
Lexing Ying
Stable factorization for phase factors of quantum signal processing. CoRR (2022)
Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Primal-dual Methods for Regularized Markov Decision Processes. CoRR (2022)
Chao Ma, Lei Wu, Lexing Ying
The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin. CoRR (2022)
Yiping Lu, Jiajin Li, Lexing Ying, Jose H. Blanchet
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls. CoRR (2022)
Zachary Izzo, James Zou, Lexing Ying
How to Learn when Data Gradually Reacts to Your Model. AISTATS (2022)
Lexing Ying
Analytic continuation from limited noisy Matsubara data. CoRR (2022)
Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying
High-dimensional density estimation with tensorizing flow. CoRR (2022)
Jikai Jin, Yiping Lu, Jose H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. CoRR (2022)
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. CoRR (2022)
Jordi Feliu-Fabà, Lexing Ying
Approximate inversion of discrete Fourier integral operators. CoRR (2021)
Philip A. Etter, Lexing Ying
Operator Augmentation for General Noisy Matrix Systems. CoRR (2021)
Zhihan Li, Yuwei Fan, Lexing Ying
Multilevel Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data. Multiscale Model. Simul. 19 (1) (2021)
Zachary Izzo, Lexing Ying, James Zou
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. ICML (2021)
Jing An, Lexing Ying, Yuhua Zhu
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients. ICLR (2021)
Zachary Izzo, Lexing Ying, James Zou
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. CoRR (2021)
Haoya Li, Yuwei Fan, Lexing Ying
A simple multiscale method for mean field games. J. Comput. Phys. 439 (2021)
Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Quasi-Newton policy gradient algorithms. CoRR (2021)
Lukas Einkemmer, Jingwei Hu, Lexing Ying
An Efficient Dynamical Low-Rank Algorithm for the Boltzmann-BGK Equation Close to the Compressible Viscous Flow Regime. SIAM J. Sci. Comput. 43 (5) (2021)
Yuhua Zhu, Lexing Ying
Variational Actor-Critic Algorithms. CoRR (2021)
Chao Ma, Lexing Ying
On Linear Stability of SGD and Input-Smoothness of Neural Networks. NeurIPS (2021)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. CoRR (2021)
Jordi Feliu-Fabà, Lexing Ying
Approximate inversion of discrete Fourier integral operators. J. Comput. Phys. 446 (2021)
Lexing Ying
A Heuristic Independent Particle Approximation to Determinantal Point Processes. J. Sci. Comput. 87 (2) (2021)
Lexing Ying
Natural Gradient for Combined Loss Using Wavelets. J. Sci. Comput. 86 (2) (2021)
Xun Tang, Lexing Ying, Yuhua Zhu
Operator Augmentation for Model-based Policy Evaluation. CoRR (2021)
Zachary Izzo, James Zou, Lexing Ying
How to Learn when Data Gradually Reacts to Your Model. CoRR (2021)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. ICML (2021)
Chao Ma, Lexing Ying
The Sobolev Regularization Effect of Stochastic Gradient Descent. CoRR (2021)
Jing An, Lexing Ying
Combining resampling and reweighting for faithful stochastic optimization. CoRR (2021)
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR (2021)
Yuhua Zhu, Zachary Izzo, Lexing Ying
Borrowing From the Future: Addressing Double Sampling in Model-free Control. MSML (2021)
Chao Ma, Lexing Ying
A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization. CoRR (2021)
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. CoRR (2021)
Haoya Li, Lexing Ying
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks. CoRR (2021)
Lukas Einkemmer, Jingwei Hu, Lexing Ying
An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime. CoRR (2021)
Zhihan Li, Yuwei Fan, Lexing Ying
Multi-Level Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data. CoRR (2021)
Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying
A semigroup method for high dimensional committor functions based on neural network. MSML (2021)
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19 (3) (2021)
Yingzhou Li, Jack Poulson, Lexing Ying
Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication. CoRR (2020)
Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. CoRR (2020)
Yuhua Zhu, Zach Izzo, Lexing Ying
Borrowing From the Future: Addressing Double Sampling in Model-free Control. CoRR (2020)
Xin Ye, Jianlin Xia, Lexing Ying
Analytical Low-Rank Compression via Proxy Point Selection. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Lexing Ying
Natural Gradient for Combined Loss Using Wavelets. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lexing Ying